15 #include "joseki/base.h"
17 #include "playout/moggy.h"
18 #include "playout/light.h"
19 #include "tactics/util.h"
21 #include "uct/dynkomi.h"
22 #include "uct/internal.h"
23 #include "uct/plugins.h"
24 #include "uct/prior.h"
25 #include "uct/search.h"
26 #include "uct/slave.h"
31 struct uct_policy
*policy_ucb1_init(struct uct
*u
, char *arg
);
32 struct uct_policy
*policy_ucb1amaf_init(struct uct
*u
, char *arg
, struct board
*board
);
33 static void uct_pondering_start(struct uct
*u
, struct board
*b0
, struct tree
*t
, enum stone color
);
35 /* Maximal simulation length. */
36 #define MC_GAMELEN MAX_GAMELEN
40 setup_state(struct uct
*u
, struct board
*b
, enum stone color
)
42 u
->t
= tree_init(b
, color
, u
->fast_alloc
? u
->max_tree_size
: 0,
43 u
->max_pruned_size
, u
->pruning_threshold
, u
->local_tree_aging
, u
->stats_hbits
);
45 fast_srandom(u
->force_seed
);
47 fprintf(stderr
, "Fresh board with random seed %lu\n", fast_getseed());
48 if (!u
->no_tbook
&& b
->moves
== 0) {
49 if (color
== S_BLACK
) {
51 } else if (DEBUGL(0)) {
52 fprintf(stderr
, "Warning: First move appears to be white\n");
58 reset_state(struct uct
*u
)
61 tree_done(u
->t
); u
->t
= NULL
;
65 setup_dynkomi(struct uct
*u
, struct board
*b
, enum stone to_play
)
67 if (u
->t
->use_extra_komi
&& !u
->pondering
&& u
->dynkomi
->permove
)
68 u
->t
->extra_komi
= u
->dynkomi
->permove(u
->dynkomi
, b
, u
->t
);
69 else if (!u
->t
->use_extra_komi
)
74 uct_prepare_move(struct uct
*u
, struct board
*b
, enum stone color
)
77 /* Verify that we have sane state. */
79 assert(u
->t
&& b
->moves
);
80 if (color
!= stone_other(u
->t
->root_color
)) {
81 fprintf(stderr
, "Fatal: Non-alternating play detected %d %d\n",
82 color
, u
->t
->root_color
);
85 uct_htable_reset(u
->t
);
88 /* We need fresh state. */
90 setup_state(u
, b
, color
);
93 u
->ownermap
.playouts
= 0;
94 memset(u
->ownermap
.map
, 0, board_size2(b
) * sizeof(u
->ownermap
.map
[0]));
95 u
->played_own
= u
->played_all
= 0;
99 dead_group_list(struct uct
*u
, struct board
*b
, struct move_queue
*mq
)
101 enum gj_state gs_array
[board_size2(b
)];
102 struct group_judgement gj
= { .thres
= GJ_THRES
, .gs
= gs_array
};
103 board_ownermap_judge_groups(b
, &u
->ownermap
, &gj
);
104 groups_of_status(b
, &gj
, GS_DEAD
, mq
);
108 uct_pass_is_safe(struct uct
*u
, struct board
*b
, enum stone color
, bool pass_all_alive
)
110 /* Make sure enough playouts are simulated to get a reasonable dead group list. */
111 while (u
->ownermap
.playouts
< GJ_MINGAMES
)
112 uct_playout(u
, b
, color
, u
->t
);
114 struct move_queue mq
= { .moves
= 0 };
115 dead_group_list(u
, b
, &mq
);
116 if (pass_all_alive
) {
117 for (unsigned int i
= 0; i
< mq
.moves
; i
++) {
118 if (board_at(b
, mq
.move
[i
]) == stone_other(color
)) {
119 return false; // We need to remove opponent dead groups first.
122 mq
.moves
= 0; // our dead stones are alive when pass_all_alive is true
124 return pass_is_safe(b
, color
, &mq
);
128 uct_printhook_ownermap(struct board
*board
, coord_t c
, char *s
, char *end
)
130 struct uct
*u
= board
->es
;
135 const char chr
[] = ":XO,"; // dame, black, white, unclear
136 const char chm
[] = ":xo,";
137 char ch
= chr
[board_ownermap_judge_point(&u
->ownermap
, c
, GJ_THRES
)];
138 if (ch
== ',') { // less precise estimate then?
139 ch
= chm
[board_ownermap_judge_point(&u
->ownermap
, c
, 0.67)];
141 s
+= snprintf(s
, end
- s
, "%c ", ch
);
146 uct_notify_play(struct engine
*e
, struct board
*b
, struct move
*m
, char *enginearg
)
148 struct uct
*u
= e
->data
;
150 /* No state, create one - this is probably game beginning
151 * and we need to load the opening tbook right now. */
152 uct_prepare_move(u
, b
, m
->color
);
156 /* Stop pondering, required by tree_promote_at() */
157 uct_pondering_stop(u
);
158 if (UDEBUGL(2) && u
->slave
)
159 tree_dump(u
->t
, u
->dumpthres
);
161 if (is_resign(m
->coord
)) {
167 /* Promote node of the appropriate move to the tree root. */
169 if (!tree_promote_at(u
->t
, b
, m
->coord
)) {
171 fprintf(stderr
, "Warning: Cannot promote move node! Several play commands in row?\n");
176 /* If we are a slave in a distributed engine, start pondering once
177 * we know which move we actually played. See uct_genmove() about
178 * the check for pass. */
179 if (u
->pondering_opt
&& u
->slave
&& m
->color
== u
->my_color
&& !is_pass(m
->coord
))
180 uct_pondering_start(u
, b
, u
->t
, stone_other(m
->color
));
186 uct_undo(struct engine
*e
, struct board
*b
)
188 struct uct
*u
= e
->data
;
190 if (!u
->t
) return NULL
;
191 uct_pondering_stop(u
);
197 uct_result(struct engine
*e
, struct board
*b
)
199 struct uct
*u
= e
->data
;
200 static char reply
[1024];
204 enum stone color
= u
->t
->root_color
;
205 struct tree_node
*n
= u
->t
->root
;
206 snprintf(reply
, 1024, "%s %s %d %.2f %.1f",
207 stone2str(color
), coord2sstr(node_coord(n
), b
),
208 n
->u
.playouts
, tree_node_get_value(u
->t
, -1, n
->u
.value
),
209 u
->t
->use_extra_komi
? u
->t
->extra_komi
: 0);
214 uct_chat(struct engine
*e
, struct board
*b
, char *cmd
)
216 struct uct
*u
= e
->data
;
217 static char reply
[1024];
219 cmd
+= strspn(cmd
, " \n\t");
220 if (!strncasecmp(cmd
, "winrate", 7)) {
222 return "no game context (yet?)";
223 enum stone color
= u
->t
->root_color
;
224 struct tree_node
*n
= u
->t
->root
;
225 snprintf(reply
, 1024, "In %d playouts at %d threads, %s %s can win with %.2f%% probability",
226 n
->u
.playouts
, u
->threads
, stone2str(color
), coord2sstr(node_coord(n
), b
),
227 tree_node_get_value(u
->t
, -1, n
->u
.value
) * 100);
228 if (u
->t
->use_extra_komi
&& abs(u
->t
->extra_komi
) >= 0.5) {
229 sprintf(reply
+ strlen(reply
), ", while self-imposing extra komi %.1f",
239 uct_dead_group_list(struct engine
*e
, struct board
*b
, struct move_queue
*mq
)
241 struct uct
*u
= e
->data
;
243 /* This means the game is probably over, no use pondering on. */
244 uct_pondering_stop(u
);
246 if (u
->pass_all_alive
)
247 return; // no dead groups
249 bool mock_state
= false;
252 /* No state, but we cannot just back out - we might
253 * have passed earlier, only assuming some stones are
254 * dead, and then re-connected, only to lose counting
255 * when all stones are assumed alive. */
256 uct_prepare_move(u
, b
, S_BLACK
); assert(u
->t
);
259 /* Make sure the ownermap is well-seeded. */
260 while (u
->ownermap
.playouts
< GJ_MINGAMES
)
261 uct_playout(u
, b
, S_BLACK
, u
->t
);
262 /* Show the ownermap: */
264 board_print_custom(b
, stderr
, uct_printhook_ownermap
);
266 dead_group_list(u
, b
, mq
);
269 /* Clean up the mock state in case we will receive
270 * a genmove; we could get a non-alternating-move
271 * error from uct_prepare_move() in that case otherwise. */
277 playout_policy_done(struct playout_policy
*p
)
279 if (p
->done
) p
->done(p
);
280 if (p
->data
) free(p
->data
);
285 uct_done(struct engine
*e
)
287 /* This is called on engine reset, especially when clear_board
288 * is received and new game should begin. */
289 struct uct
*u
= e
->data
;
290 uct_pondering_stop(u
);
291 if (u
->t
) reset_state(u
);
292 free(u
->ownermap
.map
);
295 free(u
->random_policy
);
296 playout_policy_done(u
->playout
);
297 uct_prior_done(u
->prior
);
298 joseki_done(u
->jdict
);
299 pluginset_done(u
->plugins
);
304 /* Run time-limited MCTS search on foreground. */
306 uct_search(struct uct
*u
, struct board
*b
, struct time_info
*ti
, enum stone color
, struct tree
*t
)
308 struct uct_search_state s
;
309 uct_search_start(u
, b
, color
, t
, ti
, &s
);
310 if (UDEBUGL(2) && s
.base_playouts
> 0)
311 fprintf(stderr
, "<pre-simulated %d games>\n", s
.base_playouts
);
313 /* The search tree is ctx->t. This is currently == . It is important
314 * to reference ctx->t directly since the
315 * thread manager will swap the tree pointer asynchronously. */
317 /* Now, just periodically poll the search tree. */
318 /* Note that in case of TD_GAMES, threads will not wait for
319 * the uct_search_check_stop() signalization. */
321 time_sleep(TREE_BUSYWAIT_INTERVAL
);
322 /* TREE_BUSYWAIT_INTERVAL should never be less than desired time, or the
323 * time control is broken. But if it happens to be less, we still search
324 * at least 100ms otherwise the move is completely random. */
326 int i
= uct_search_games(&s
);
327 /* Print notifications etc. */
328 uct_search_progress(u
, b
, color
, t
, ti
, &s
, i
);
329 /* Check if we should stop the search. */
330 if (uct_search_check_stop(u
, b
, color
, t
, ti
, &s
, i
))
334 struct uct_thread_ctx
*ctx
= uct_search_stop();
335 if (UDEBUGL(2)) tree_dump(t
, u
->dumpthres
);
337 fprintf(stderr
, "(avg score %f/%d; dynkomi's %f/%d value %f/%d)\n",
338 t
->avg_score
.value
, t
->avg_score
.playouts
,
339 u
->dynkomi
->score
.value
, u
->dynkomi
->score
.playouts
,
340 u
->dynkomi
->value
.value
, u
->dynkomi
->value
.playouts
);
341 uct_progress_status(u
, t
, color
, ctx
->games
, true);
343 u
->played_own
+= ctx
->games
;
347 /* Start pondering background with @color to play. */
349 uct_pondering_start(struct uct
*u
, struct board
*b0
, struct tree
*t
, enum stone color
)
352 fprintf(stderr
, "Starting to ponder with color %s\n", stone2str(stone_other(color
)));
355 /* We need a local board copy to ponder upon. */
356 struct board
*b
= malloc2(sizeof(*b
)); board_copy(b
, b0
);
358 /* *b0 did not have the genmove'd move played yet. */
359 struct move m
= { node_coord(t
->root
), t
->root_color
};
360 int res
= board_play(b
, &m
);
362 setup_dynkomi(u
, b
, stone_other(m
.color
));
364 /* Start MCTS manager thread "headless". */
365 static struct uct_search_state s
;
366 uct_search_start(u
, b
, color
, t
, NULL
, &s
);
369 /* uct_search_stop() frontend for the pondering (non-genmove) mode, and
370 * to stop the background search for a slave in the distributed engine. */
372 uct_pondering_stop(struct uct
*u
)
374 if (!thread_manager_running
)
377 /* Stop the thread manager. */
378 struct uct_thread_ctx
*ctx
= uct_search_stop();
380 if (u
->pondering
) fprintf(stderr
, "(pondering) ");
381 uct_progress_status(u
, ctx
->t
, ctx
->color
, ctx
->games
, true);
385 u
->pondering
= false;
391 uct_genmove_setup(struct uct
*u
, struct board
*b
, enum stone color
)
393 if (b
->superko_violation
) {
394 fprintf(stderr
, "!!! WARNING: SUPERKO VIOLATION OCCURED BEFORE THIS MOVE\n");
395 fprintf(stderr
, "Maybe you play with situational instead of positional superko?\n");
396 fprintf(stderr
, "I'm going to ignore the violation, but note that I may miss\n");
397 fprintf(stderr
, "some moves valid under this ruleset because of this.\n");
398 b
->superko_violation
= false;
401 uct_prepare_move(u
, b
, color
);
406 /* How to decide whether to use dynkomi in this game? Since we use
407 * pondering, it's not simple "who-to-play" matter. Decide based on
408 * the last genmove issued. */
409 u
->t
->use_extra_komi
= !!(u
->dynkomi_mask
& color
);
410 setup_dynkomi(u
, b
, color
);
412 if (b
->rules
== RULES_JAPANESE
)
413 u
->territory_scoring
= true;
415 /* Make pessimistic assumption about komi for Japanese rules to
416 * avoid losing by 0.5 when winning by 0.5 with Chinese rules.
417 * The rules usually give the same winner if the integer part of komi
418 * is odd so we adjust the komi only if it is even (for a board of
419 * odd size). We are not trying to get an exact evaluation for rare
420 * cases of seki. For details see http://home.snafu.de/jasiek/parity.html */
421 if (u
->territory_scoring
&& (((int)floor(b
->komi
) + board_size(b
)) & 1)) {
422 b
->komi
+= (color
== S_BLACK
? 1.0 : -1.0);
424 fprintf(stderr
, "Setting komi to %.1f assuming Japanese rules\n",
430 uct_genmove(struct engine
*e
, struct board
*b
, struct time_info
*ti
, enum stone color
, bool pass_all_alive
)
432 double start_time
= time_now();
433 struct uct
*u
= e
->data
;
434 u
->pass_all_alive
|= pass_all_alive
;
435 uct_pondering_stop(u
);
436 uct_genmove_setup(u
, b
, color
);
438 /* Start the Monte Carlo Tree Search! */
439 int base_playouts
= u
->t
->root
->u
.playouts
;
440 int played_games
= uct_search(u
, b
, ti
, color
, u
->t
);
443 struct tree_node
*best
;
444 best
= uct_search_result(u
, b
, color
, u
->pass_all_alive
, played_games
, base_playouts
, &best_coord
);
447 double time
= time_now() - start_time
+ 0.000001; /* avoid divide by zero */
448 fprintf(stderr
, "genmove in %0.2fs (%d games/s, %d games/s/thread)\n",
449 time
, (int)(played_games
/time
), (int)(played_games
/time
/u
->threads
));
453 /* Pass or resign. */
455 return coord_copy(best_coord
);
457 tree_promote_node(u
->t
, &best
);
459 /* After a pass, pondering is harmful for two reasons:
460 * (i) We might keep pondering even when the game is over.
461 * Of course this is the case for opponent resign as well.
462 * (ii) More importantly, the ownermap will get skewed since
463 * the UCT will start cutting off any playouts. */
464 if (u
->pondering_opt
&& !is_pass(node_coord(best
))) {
465 uct_pondering_start(u
, b
, u
->t
, stone_other(color
));
467 return coord_copy(best_coord
);
472 uct_gentbook(struct engine
*e
, struct board
*b
, struct time_info
*ti
, enum stone color
)
474 struct uct
*u
= e
->data
;
475 if (!u
->t
) uct_prepare_move(u
, b
, color
);
478 if (ti
->dim
== TD_GAMES
) {
479 /* Don't count in games that already went into the tbook. */
480 ti
->len
.games
+= u
->t
->root
->u
.playouts
;
482 uct_search(u
, b
, ti
, color
, u
->t
);
484 assert(ti
->dim
== TD_GAMES
);
485 tree_save(u
->t
, b
, ti
->len
.games
/ 100);
491 uct_dumptbook(struct engine
*e
, struct board
*b
, enum stone color
)
493 struct uct
*u
= e
->data
;
494 struct tree
*t
= tree_init(b
, color
, u
->fast_alloc
? u
->max_tree_size
: 0,
495 u
->max_pruned_size
, u
->pruning_threshold
, u
->local_tree_aging
, 0);
503 uct_evaluate_one(struct engine
*e
, struct board
*b
, struct time_info
*ti
, coord_t c
, enum stone color
)
505 struct uct
*u
= e
->data
;
509 struct move m
= { c
, color
};
510 int res
= board_play(&b2
, &m
);
513 color
= stone_other(color
);
515 if (u
->t
) reset_state(u
);
516 uct_prepare_move(u
, &b2
, color
);
520 uct_search(u
, &b2
, ti
, color
, u
->t
);
521 struct tree_node
*best
= u
->policy
->choose(u
->policy
, u
->t
->root
, &b2
, color
, resign
);
523 bestval
= NAN
; // the opponent has no reply!
525 bestval
= tree_node_get_value(u
->t
, 1, best
->u
.value
);
528 reset_state(u
); // clean our junk
530 return isnan(bestval
) ? NAN
: 1.0f
- bestval
;
534 uct_evaluate(struct engine
*e
, struct board
*b
, struct time_info
*ti
, floating_t
*vals
, enum stone color
)
536 for (int i
= 0; i
< b
->flen
; i
++) {
537 if (is_pass(b
->f
[i
]))
540 vals
[i
] = uct_evaluate_one(e
, b
, ti
, b
->f
[i
], color
);
546 uct_state_init(char *arg
, struct board
*b
)
548 struct uct
*u
= calloc2(1, sizeof(struct uct
));
549 bool pat_setup
= false;
551 u
->debug_level
= debug_level
;
552 u
->reportfreq
= 10000;
553 u
->gamelen
= MC_GAMELEN
;
554 u
->resign_threshold
= 0.2;
555 u
->sure_win_threshold
= 0.9;
557 u
->significant_threshold
= 50;
560 u
->playout_amaf
= true;
561 u
->amaf_prior
= false;
562 u
->max_tree_size
= 1408ULL * 1048576;
563 u
->fast_alloc
= true;
564 u
->pruning_threshold
= 0;
567 u
->thread_model
= TM_TREEVL
;
570 u
->fuseki_end
= 20; // max time at 361*20% = 72 moves (our 36th move, still 99 to play)
571 u
->yose_start
= 40; // (100-40-25)*361/100/2 = 63 moves still to play by us then
572 u
->bestr_ratio
= 0.02;
573 // 2.5 is clearly too much, but seems to compensate well for overly stern time allocations.
574 // TODO: Further tuning and experiments with better time allocation schemes.
575 u
->best2_ratio
= 2.5;
576 u
->max_maintime_ratio
= 3.0;
578 u
->val_scale
= 0; u
->val_points
= 40;
579 u
->dynkomi_interval
= 1000;
580 u
->dynkomi_mask
= S_BLACK
| S_WHITE
;
583 u
->local_tree_aging
= 80;
584 u
->local_tree_depth_decay
= 1.5;
585 u
->local_tree_eval
= LTE_ROOT
;
586 u
->local_tree_neival
= true;
590 u
->stats_delay
= 0.01; // 10 ms
592 u
->plugins
= pluginset_init(b
);
594 u
->jdict
= joseki_load(b
->size
);
597 char *optspec
, *next
= arg
;
600 next
+= strcspn(next
, ",");
601 if (*next
) { *next
++ = 0; } else { *next
= 0; }
603 char *optname
= optspec
;
604 char *optval
= strchr(optspec
, '=');
605 if (optval
) *optval
++ = 0;
609 if (!strcasecmp(optname
, "debug")) {
611 u
->debug_level
= atoi(optval
);
614 } else if (!strcasecmp(optname
, "reporting") && optval
) {
615 /* The format of output for detailed progress
616 * information (such as current best move and
617 * its value, etc.). */
618 if (!strcasecmp(optval
, "text")) {
619 /* Plaintext traditional output. */
620 u
->reporting
= UR_TEXT
;
621 } else if (!strcasecmp(optval
, "json")) {
622 /* JSON output. Implies debug=0. */
623 u
->reporting
= UR_JSON
;
625 } else if (!strcasecmp(optval
, "jsonbig")) {
626 /* JSON output, but much more detailed.
627 * Implies debug=0. */
628 u
->reporting
= UR_JSON_BIG
;
631 fprintf(stderr
, "UCT: Invalid reporting format %s\n", optval
);
634 } else if (!strcasecmp(optname
, "reportfreq") && optval
) {
635 /* The progress information line will be shown
636 * every <reportfreq> simulations. */
637 u
->reportfreq
= atoi(optval
);
638 } else if (!strcasecmp(optname
, "dumpthres") && optval
) {
639 /* When dumping the UCT tree on output, include
640 * nodes with at least this many playouts.
641 * (This value is re-scaled "intelligently"
642 * in case of very large trees.) */
643 u
->dumpthres
= atoi(optval
);
644 } else if (!strcasecmp(optname
, "resign_threshold") && optval
) {
645 /* Resign when this ratio of games is lost
646 * after GJ_MINGAMES sample is taken. */
647 u
->resign_threshold
= atof(optval
);
648 } else if (!strcasecmp(optname
, "sure_win_threshold") && optval
) {
649 /* Stop reading when this ratio of games is won
650 * after PLAYOUT_EARLY_BREAK_MIN sample is
651 * taken. (Prevents stupid time losses,
652 * friendly to human opponents.) */
653 u
->sure_win_threshold
= atof(optval
);
654 } else if (!strcasecmp(optname
, "force_seed") && optval
) {
655 /* Set RNG seed at the tree setup. */
656 u
->force_seed
= atoi(optval
);
657 } else if (!strcasecmp(optname
, "no_tbook")) {
658 /* Disable UCT opening tbook. */
660 } else if (!strcasecmp(optname
, "pass_all_alive")) {
661 /* Whether to consider passing only after all
662 * dead groups were removed from the board;
663 * this is like all genmoves are in fact
664 * kgs-genmove_cleanup. */
665 u
->pass_all_alive
= !optval
|| atoi(optval
);
666 } else if (!strcasecmp(optname
, "territory_scoring")) {
667 /* Use territory scoring (default is area scoring).
668 * An explicit kgs-rules command overrides this. */
669 u
->territory_scoring
= !optval
|| atoi(optval
);
670 } else if (!strcasecmp(optname
, "stones_only")) {
671 /* Do not count eyes. Nice to teach go to kids.
672 * http://strasbourg.jeudego.org/regle_strasbourgeoise.htm */
673 b
->rules
= RULES_STONES_ONLY
;
674 u
->pass_all_alive
= true;
675 } else if (!strcasecmp(optname
, "banner") && optval
) {
676 /* Additional banner string. This must come as the
677 * last engine parameter. */
678 if (*next
) *--next
= ',';
679 u
->banner
= strdup(optval
);
681 } else if (!strcasecmp(optname
, "plugin") && optval
) {
682 /* Load an external plugin; filename goes before the colon,
683 * extra arguments after the colon. */
684 char *pluginarg
= strchr(optval
, ':');
687 plugin_load(u
->plugins
, optval
, pluginarg
);
689 /** UCT behavior and policies */
691 } else if ((!strcasecmp(optname
, "policy")
692 /* Node selection policy. ucb1amaf is the
693 * default policy implementing RAVE, while
694 * ucb1 is the simple exploration/exploitation
695 * policy. Policies can take further extra
697 || !strcasecmp(optname
, "random_policy")) && optval
) {
698 /* A policy to be used randomly with small
699 * chance instead of the default policy. */
700 char *policyarg
= strchr(optval
, ':');
701 struct uct_policy
**p
= !strcasecmp(optname
, "policy") ? &u
->policy
: &u
->random_policy
;
704 if (!strcasecmp(optval
, "ucb1")) {
705 *p
= policy_ucb1_init(u
, policyarg
);
706 } else if (!strcasecmp(optval
, "ucb1amaf")) {
707 *p
= policy_ucb1amaf_init(u
, policyarg
, b
);
709 fprintf(stderr
, "UCT: Invalid tree policy %s\n", optval
);
712 } else if (!strcasecmp(optname
, "playout") && optval
) {
713 /* Random simulation (playout) policy.
714 * moggy is the default policy with large
715 * amount of domain-specific knowledge and
716 * heuristics. light is a simple uniformly
717 * random move selection policy. */
718 char *playoutarg
= strchr(optval
, ':');
721 if (!strcasecmp(optval
, "moggy")) {
722 u
->playout
= playout_moggy_init(playoutarg
, b
, u
->jdict
);
723 } else if (!strcasecmp(optval
, "light")) {
724 u
->playout
= playout_light_init(playoutarg
, b
);
726 fprintf(stderr
, "UCT: Invalid playout policy %s\n", optval
);
729 } else if (!strcasecmp(optname
, "prior") && optval
) {
730 /* Node priors policy. When expanding a node,
731 * it will seed node values heuristically
732 * (most importantly, based on playout policy
733 * opinion, but also with regard to other
734 * things). See uct/prior.c for details.
735 * Use prior=eqex=0 to disable priors. */
736 u
->prior
= uct_prior_init(optval
, b
, u
);
737 } else if (!strcasecmp(optname
, "mercy") && optval
) {
738 /* Minimal difference of black/white captures
739 * to stop playout - "Mercy Rule". Speeds up
740 * hopeless playouts at the expense of some
742 u
->mercymin
= atoi(optval
);
743 } else if (!strcasecmp(optname
, "gamelen") && optval
) {
744 /* Maximum length of single simulation
746 u
->gamelen
= atoi(optval
);
747 } else if (!strcasecmp(optname
, "expand_p") && optval
) {
748 /* Expand UCT nodes after it has been
749 * visited this many times. */
750 u
->expand_p
= atoi(optval
);
751 } else if (!strcasecmp(optname
, "random_policy_chance") && optval
) {
752 /* If specified (N), with probability 1/N, random_policy policy
753 * descend is used instead of main policy descend; useful
754 * if specified policy (e.g. UCB1AMAF) can make unduly biased
755 * choices sometimes, you can fall back to e.g.
756 * random_policy=UCB1. */
757 u
->random_policy_chance
= atoi(optval
);
759 /** General AMAF behavior */
760 /* (Only relevant if the policy supports AMAF.
761 * More variables can be tuned as policy
764 } else if (!strcasecmp(optname
, "playout_amaf")) {
765 /* Whether to include random playout moves in
766 * AMAF as well. (Otherwise, only tree moves
767 * are included in AMAF. Of course makes sense
768 * only in connection with an AMAF policy.) */
769 /* with-without: 55.5% (+-4.1) */
770 if (optval
&& *optval
== '0')
771 u
->playout_amaf
= false;
773 u
->playout_amaf
= true;
774 } else if (!strcasecmp(optname
, "playout_amaf_cutoff") && optval
) {
775 /* Keep only first N% of playout stage AMAF
777 u
->playout_amaf_cutoff
= atoi(optval
);
778 } else if (!strcasecmp(optname
, "amaf_prior") && optval
) {
779 /* In node policy, consider prior values
780 * part of the real result term or part
781 * of the AMAF term? */
782 u
->amaf_prior
= atoi(optval
);
784 /** Performance and memory management */
786 } else if (!strcasecmp(optname
, "threads") && optval
) {
787 /* By default, Pachi will run with only single
788 * tree search thread! */
789 u
->threads
= atoi(optval
);
790 } else if (!strcasecmp(optname
, "thread_model") && optval
) {
791 if (!strcasecmp(optval
, "tree")) {
792 /* Tree parallelization - all threads
793 * grind on the same tree. */
794 u
->thread_model
= TM_TREE
;
796 } else if (!strcasecmp(optval
, "treevl")) {
797 /* Tree parallelization, but also
798 * with virtual losses - this discou-
799 * rages most threads choosing the
800 * same tree branches to read. */
801 u
->thread_model
= TM_TREEVL
;
803 fprintf(stderr
, "UCT: Invalid thread model %s\n", optval
);
806 } else if (!strcasecmp(optname
, "virtual_loss")) {
807 /* Number of virtual losses added before evaluating a node. */
808 u
->virtual_loss
= !optval
|| atoi(optval
);
809 } else if (!strcasecmp(optname
, "pondering")) {
810 /* Keep searching even during opponent's turn. */
811 u
->pondering_opt
= !optval
|| atoi(optval
);
812 } else if (!strcasecmp(optname
, "max_tree_size") && optval
) {
813 /* Maximum amount of memory [MiB] consumed by the move tree.
814 * For fast_alloc it includes the temp tree used for pruning.
815 * Default is 3072 (3 GiB). */
816 u
->max_tree_size
= atol(optval
) * 1048576;
817 } else if (!strcasecmp(optname
, "fast_alloc")) {
818 u
->fast_alloc
= !optval
|| atoi(optval
);
819 } else if (!strcasecmp(optname
, "pruning_threshold") && optval
) {
820 /* Force pruning at beginning of a move if the tree consumes
821 * more than this [MiB]. Default is 10% of max_tree_size.
822 * Increase to reduce pruning time overhead if memory is plentiful.
823 * This option is meaningful only for fast_alloc. */
824 u
->pruning_threshold
= atol(optval
) * 1048576;
828 } else if (!strcasecmp(optname
, "best2_ratio") && optval
) {
829 /* If set, prolong simulating while
830 * first_best/second_best playouts ratio
831 * is less than best2_ratio. */
832 u
->best2_ratio
= atof(optval
);
833 } else if (!strcasecmp(optname
, "bestr_ratio") && optval
) {
834 /* If set, prolong simulating while
835 * best,best_best_child values delta
836 * is more than bestr_ratio. */
837 u
->bestr_ratio
= atof(optval
);
838 } else if (!strcasecmp(optname
, "max_maintime_ratio") && optval
) {
839 /* If set and while not in byoyomi, prolong simulating no more than
840 * max_maintime_ratio times the normal desired thinking time. */
841 u
->max_maintime_ratio
= atof(optval
);
842 } else if (!strcasecmp(optname
, "fuseki_end") && optval
) {
843 /* At the very beginning it's not worth thinking
844 * too long because the playout evaluations are
845 * very noisy. So gradually increase the thinking
846 * time up to maximum when fuseki_end percent
847 * of the board has been played.
848 * This only applies if we are not in byoyomi. */
849 u
->fuseki_end
= atoi(optval
);
850 } else if (!strcasecmp(optname
, "yose_start") && optval
) {
851 /* When yose_start percent of the board has been
852 * played, or if we are in byoyomi, stop spending
853 * more time and spread the remaining time
855 * Between fuseki_end and yose_start, we spend
856 * a constant proportion of the remaining time
857 * on each move. (yose_start should actually
858 * be much earlier than when real yose start,
859 * but "yose" is a good short name to convey
861 u
->yose_start
= atoi(optval
);
865 } else if (!strcasecmp(optname
, "dynkomi") && optval
) {
866 /* Dynamic komi approach; there are multiple
867 * ways to adjust komi dynamically throughout
868 * play. We currently support two: */
869 char *dynkomiarg
= strchr(optval
, ':');
872 if (!strcasecmp(optval
, "none")) {
873 u
->dynkomi
= uct_dynkomi_init_none(u
, dynkomiarg
, b
);
874 } else if (!strcasecmp(optval
, "linear")) {
875 /* You should set dynkomi_mask=1 or a very low
876 * handicap_value for white. */
877 u
->dynkomi
= uct_dynkomi_init_linear(u
, dynkomiarg
, b
);
878 } else if (!strcasecmp(optval
, "adaptive")) {
879 /* There are many more knobs to
880 * crank - see uct/dynkomi.c. */
881 u
->dynkomi
= uct_dynkomi_init_adaptive(u
, dynkomiarg
, b
);
883 fprintf(stderr
, "UCT: Invalid dynkomi mode %s\n", optval
);
886 } else if (!strcasecmp(optname
, "dynkomi_mask") && optval
) {
887 /* Bitmask of colors the player must be
888 * for dynkomi be applied; the default dynkomi_mask=3 allows
889 * dynkomi even in games where Pachi is white. */
890 u
->dynkomi_mask
= atoi(optval
);
891 } else if (!strcasecmp(optname
, "dynkomi_interval") && optval
) {
892 /* If non-zero, re-adjust dynamic komi
893 * throughout a single genmove reading,
894 * roughly every N simulations. */
895 /* XXX: Does not work with tree
896 * parallelization. */
897 u
->dynkomi_interval
= atoi(optval
);
899 /** Node value result scaling */
901 } else if (!strcasecmp(optname
, "val_scale") && optval
) {
902 /* How much of the game result value should be
903 * influenced by win size. Zero means it isn't. */
904 u
->val_scale
= atof(optval
);
905 } else if (!strcasecmp(optname
, "val_points") && optval
) {
906 /* Maximum size of win to be scaled into game
907 * result value. Zero means boardsize^2. */
908 u
->val_points
= atoi(optval
) * 2; // result values are doubled
909 } else if (!strcasecmp(optname
, "val_extra")) {
910 /* If false, the score coefficient will be simply
911 * added to the value, instead of scaling the result
912 * coefficient because of it. */
913 u
->val_extra
= !optval
|| atoi(optval
);
916 /* (Purely experimental. Does not work - yet!) */
918 } else if (!strcasecmp(optname
, "local_tree")) {
919 /* Whether to bias exploration by local tree values. */
920 u
->local_tree
= !optval
|| atoi(optval
);
921 } else if (!strcasecmp(optname
, "tenuki_d") && optval
) {
922 /* Tenuki distance at which to break the local tree. */
923 u
->tenuki_d
= atoi(optval
);
924 if (u
->tenuki_d
> TREE_NODE_D_MAX
+ 1) {
925 fprintf(stderr
, "uct: tenuki_d must not be larger than TREE_NODE_D_MAX+1 %d\n", TREE_NODE_D_MAX
+ 1);
928 } else if (!strcasecmp(optname
, "local_tree_aging") && optval
) {
929 /* How much to reduce local tree values between moves. */
930 u
->local_tree_aging
= atof(optval
);
931 } else if (!strcasecmp(optname
, "local_tree_depth_decay") && optval
) {
932 /* With value x>0, during the descent the node
933 * contributes 1/x^depth playouts in
934 * the local tree. I.e., with x>1, nodes more
935 * distant from local situation contribute more
936 * than nodes near the root. */
937 u
->local_tree_depth_decay
= atof(optval
);
938 } else if (!strcasecmp(optname
, "local_tree_allseq")) {
939 /* If disabled, only complete sequences are stored
940 * in the local tree. If this is on, also
941 * subsequences starting at each move are stored. */
942 u
->local_tree_allseq
= !optval
|| atoi(optval
);
943 } else if (!strcasecmp(optname
, "local_tree_neival")) {
944 /* If disabled, local node value is not
945 * computed just based on terminal status
946 * of the coordinate, but also its neighbors. */
947 u
->local_tree_neival
= !optval
|| atoi(optval
);
948 } else if (!strcasecmp(optname
, "local_tree_eval")) {
949 /* How is the value inserted in the local tree
951 if (!strcasecmp(optval
, "root"))
952 /* All moves within a tree branch are
953 * considered wrt. their merit
954 * reaching tachtical goal of making
955 * the first move in the branch
957 u
->local_tree_eval
= LTE_ROOT
;
958 else if (!strcasecmp(optval
, "each"))
959 /* Each move is considered wrt.
960 * its own survival. */
961 u
->local_tree_eval
= LTE_EACH
;
962 else if (!strcasecmp(optval
, "total"))
963 /* The tactical goal is the survival
964 * of all the moves of my color and
965 * non-survival of all the opponent
966 * moves. Local values (and their
967 * inverses) are averaged. */
968 u
->local_tree_eval
= LTE_TOTAL
;
970 fprintf(stderr
, "uct: unknown local_tree_eval %s\n", optval
);
973 } else if (!strcasecmp(optname
, "local_tree_rootchoose")) {
974 /* If disabled, only moves within the local
975 * tree branch are considered; the values
976 * of the branch roots (i.e. root children)
977 * are ignored. This may make sense together
978 * with eval!=each, we consider only moves
979 * that influence the goal, not the "rating"
980 * of the goal itself. (The real solution
981 * will be probably using criticality to pick
982 * local tree branches.) */
983 u
->local_tree_rootchoose
= !optval
|| atoi(optval
);
985 /** Other heuristics */
986 } else if (!strcasecmp(optname
, "patterns")) {
987 /* Load pattern database. Various modules
988 * (priors, policies etc.) may make use
989 * of this database. They will request
990 * it automatically in that case, but you
991 * can use this option to tweak the pattern
993 patterns_init(&u
->pat
, optval
, false, true);
994 u
->want_pat
= pat_setup
= true;
995 } else if (!strcasecmp(optname
, "significant_threshold") && optval
) {
996 /* Some heuristics (XXX: none in mainline) rely
997 * on the knowledge of the last "significant"
998 * node in the descent. Such a node is
999 * considered reasonably trustworthy to carry
1000 * some meaningful information in the values
1001 * of the node and its children. */
1002 u
->significant_threshold
= atoi(optval
);
1004 /** Distributed engine slaves setup */
1006 } else if (!strcasecmp(optname
, "slave")) {
1007 /* Act as slave for the distributed engine. */
1008 u
->slave
= !optval
|| atoi(optval
);
1009 } else if (!strcasecmp(optname
, "slave_index") && optval
) {
1010 /* Optional index if per-slave behavior is desired.
1011 * Must be given as index/max */
1012 u
->slave_index
= atoi(optval
);
1013 char *p
= strchr(optval
, '/');
1014 if (p
) u
->max_slaves
= atoi(++p
);
1015 } else if (!strcasecmp(optname
, "shared_nodes") && optval
) {
1016 /* Share at most shared_nodes between master and slave at each genmoves.
1017 * Must use the same value in master and slaves. */
1018 u
->shared_nodes
= atoi(optval
);
1019 } else if (!strcasecmp(optname
, "shared_levels") && optval
) {
1020 /* Share only nodes of level <= shared_levels. */
1021 u
->shared_levels
= atoi(optval
);
1022 } else if (!strcasecmp(optname
, "stats_hbits") && optval
) {
1023 /* Set hash table size to 2^stats_hbits for the shared stats. */
1024 u
->stats_hbits
= atoi(optval
);
1025 } else if (!strcasecmp(optname
, "stats_delay") && optval
) {
1026 /* How long to wait in slave for initial stats to build up before
1027 * replying to the genmoves command (in ms) */
1028 u
->stats_delay
= 0.001 * atof(optval
);
1031 fprintf(stderr
, "uct: Invalid engine argument %s or missing value\n", optname
);
1038 u
->policy
= policy_ucb1amaf_init(u
, NULL
, b
);
1040 if (!!u
->random_policy_chance
^ !!u
->random_policy
) {
1041 fprintf(stderr
, "uct: Only one of random_policy and random_policy_chance is set\n");
1045 if (!u
->local_tree
) {
1046 /* No ltree aging. */
1047 u
->local_tree_aging
= 1.0f
;
1050 if (u
->fast_alloc
) {
1051 if (u
->pruning_threshold
< u
->max_tree_size
/ 10)
1052 u
->pruning_threshold
= u
->max_tree_size
/ 10;
1053 if (u
->pruning_threshold
> u
->max_tree_size
/ 2)
1054 u
->pruning_threshold
= u
->max_tree_size
/ 2;
1056 /* Limit pruning temp space to 20% of memory. Beyond this we discard
1057 * the nodes and recompute them at the next move if necessary. */
1058 u
->max_pruned_size
= u
->max_tree_size
/ 5;
1059 u
->max_tree_size
-= u
->max_pruned_size
;
1061 /* Reserve 5% memory in case the background free() are slower
1062 * than the concurrent allocations. */
1063 u
->max_tree_size
-= u
->max_tree_size
/ 20;
1067 u
->prior
= uct_prior_init(NULL
, b
, u
);
1070 u
->playout
= playout_moggy_init(NULL
, b
, u
->jdict
);
1071 if (!u
->playout
->debug_level
)
1072 u
->playout
->debug_level
= u
->debug_level
;
1074 if (u
->want_pat
&& !pat_setup
)
1075 patterns_init(&u
->pat
, NULL
, false, true);
1077 u
->ownermap
.map
= malloc2(board_size2(b
) * sizeof(u
->ownermap
.map
[0]));
1080 if (!u
->stats_hbits
) u
->stats_hbits
= DEFAULT_STATS_HBITS
;
1081 if (!u
->shared_nodes
) u
->shared_nodes
= DEFAULT_SHARED_NODES
;
1082 assert(u
->shared_levels
* board_bits2(b
) <= 8 * (int)sizeof(path_t
));
1086 u
->dynkomi
= uct_dynkomi_init_linear(u
, NULL
, b
);
1088 /* Some things remain uninitialized for now - the opening tbook
1089 * is not loaded and the tree not set up. */
1090 /* This will be initialized in setup_state() at the first move
1091 * received/requested. This is because right now we are not aware
1092 * about any komi or handicap setup and such. */
1098 engine_uct_init(char *arg
, struct board
*b
)
1100 struct uct
*u
= uct_state_init(arg
, b
);
1101 struct engine
*e
= calloc2(1, sizeof(struct engine
));
1103 e
->printhook
= uct_printhook_ownermap
;
1104 e
->notify_play
= uct_notify_play
;
1107 e
->result
= uct_result
;
1108 e
->genmove
= uct_genmove
;
1109 e
->genmoves
= uct_genmoves
;
1110 e
->evaluate
= uct_evaluate
;
1111 e
->dead_group_list
= uct_dead_group_list
;
1115 e
->notify
= uct_notify
;
1117 const char banner
[] = "If you believe you have won but I am still playing, "
1118 "please help me understand by capturing all dead stones. "
1119 "Anyone can send me 'winrate' in private chat to get my assessment of the position.";
1120 if (!u
->banner
) u
->banner
= "";
1121 e
->comment
= malloc2(sizeof(banner
) + strlen(u
->banner
) + 1);
1122 sprintf(e
->comment
, "%s %s", banner
, u
->banner
);