16 #include "joseki/base.h"
18 #include "playout/moggy.h"
19 #include "playout/light.h"
20 #include "tactics/util.h"
22 #include "uct/dynkomi.h"
23 #include "uct/internal.h"
24 #include "uct/plugins.h"
25 #include "uct/prior.h"
26 #include "uct/search.h"
27 #include "uct/slave.h"
32 struct uct_policy
*policy_ucb1_init(struct uct
*u
, char *arg
);
33 struct uct_policy
*policy_ucb1amaf_init(struct uct
*u
, char *arg
, struct board
*board
);
34 static void uct_pondering_start(struct uct
*u
, struct board
*b0
, struct tree
*t
, enum stone color
);
36 /* Maximal simulation length. */
37 #define MC_GAMELEN MAX_GAMELEN
41 setup_state(struct uct
*u
, struct board
*b
, enum stone color
)
43 u
->t
= tree_init(b
, color
, u
->fast_alloc
? u
->max_tree_size
: 0,
44 u
->max_pruned_size
, u
->pruning_threshold
, u
->local_tree_aging
, u
->stats_hbits
);
46 fast_srandom(u
->force_seed
);
48 fprintf(stderr
, "Fresh board with random seed %lu\n", fast_getseed());
49 if (!u
->no_tbook
&& b
->moves
== 0) {
50 if (color
== S_BLACK
) {
52 } else if (DEBUGL(0)) {
53 fprintf(stderr
, "Warning: First move appears to be white\n");
59 reset_state(struct uct
*u
)
62 tree_done(u
->t
); u
->t
= NULL
;
66 setup_dynkomi(struct uct
*u
, struct board
*b
, enum stone to_play
)
68 if (u
->t
->use_extra_komi
&& !u
->pondering
&& u
->dynkomi
->permove
)
69 u
->t
->extra_komi
= u
->dynkomi
->permove(u
->dynkomi
, b
, u
->t
);
70 else if (!u
->t
->use_extra_komi
)
75 uct_prepare_move(struct uct
*u
, struct board
*b
, enum stone color
)
78 /* Verify that we have sane state. */
80 assert(u
->t
&& b
->moves
);
81 if (color
!= stone_other(u
->t
->root_color
)) {
82 fprintf(stderr
, "Fatal: Non-alternating play detected %d %d\n",
83 color
, u
->t
->root_color
);
86 uct_htable_reset(u
->t
);
89 /* We need fresh state. */
91 setup_state(u
, b
, color
);
94 u
->ownermap
.playouts
= 0;
95 memset(u
->ownermap
.map
, 0, board_size2(b
) * sizeof(u
->ownermap
.map
[0]));
96 u
->played_own
= u
->played_all
= 0;
100 dead_group_list(struct uct
*u
, struct board
*b
, struct move_queue
*mq
)
102 enum gj_state gs_array
[board_size2(b
)];
103 struct group_judgement gj
= { .thres
= GJ_THRES
, .gs
= gs_array
};
104 board_ownermap_judge_groups(b
, &u
->ownermap
, &gj
);
105 groups_of_status(b
, &gj
, GS_DEAD
, mq
);
109 uct_pass_is_safe(struct uct
*u
, struct board
*b
, enum stone color
, bool pass_all_alive
)
111 /* Make sure enough playouts are simulated to get a reasonable dead group list. */
112 while (u
->ownermap
.playouts
< GJ_MINGAMES
)
113 uct_playout(u
, b
, color
, u
->t
);
115 struct move_queue mq
= { .moves
= 0 };
116 dead_group_list(u
, b
, &mq
);
117 if (pass_all_alive
) {
118 for (unsigned int i
= 0; i
< mq
.moves
; i
++) {
119 if (board_at(b
, mq
.move
[i
]) == stone_other(color
)) {
120 return false; // We need to remove opponent dead groups first.
123 mq
.moves
= 0; // our dead stones are alive when pass_all_alive is true
125 return pass_is_safe(b
, color
, &mq
);
129 uct_printhook_ownermap(struct board
*board
, coord_t c
, char *s
, char *end
)
131 struct uct
*u
= board
->es
;
136 const char chr
[] = ":XO,"; // dame, black, white, unclear
137 const char chm
[] = ":xo,";
138 char ch
= chr
[board_ownermap_judge_point(&u
->ownermap
, c
, GJ_THRES
)];
139 if (ch
== ',') { // less precise estimate then?
140 ch
= chm
[board_ownermap_judge_point(&u
->ownermap
, c
, 0.67)];
142 s
+= snprintf(s
, end
- s
, "%c ", ch
);
147 uct_notify_play(struct engine
*e
, struct board
*b
, struct move
*m
, char *enginearg
)
149 struct uct
*u
= e
->data
;
151 /* No state, create one - this is probably game beginning
152 * and we need to load the opening tbook right now. */
153 uct_prepare_move(u
, b
, m
->color
);
157 /* Stop pondering, required by tree_promote_at() */
158 uct_pondering_stop(u
);
159 if (UDEBUGL(2) && u
->slave
)
160 tree_dump(u
->t
, u
->dumpthres
);
162 if (is_resign(m
->coord
)) {
168 /* Promote node of the appropriate move to the tree root. */
170 if (!tree_promote_at(u
->t
, b
, m
->coord
)) {
172 fprintf(stderr
, "Warning: Cannot promote move node! Several play commands in row?\n");
177 /* If we are a slave in a distributed engine, start pondering once
178 * we know which move we actually played. See uct_genmove() about
179 * the check for pass. */
180 if (u
->pondering_opt
&& u
->slave
&& m
->color
== u
->my_color
&& !is_pass(m
->coord
))
181 uct_pondering_start(u
, b
, u
->t
, stone_other(m
->color
));
187 uct_undo(struct engine
*e
, struct board
*b
)
189 struct uct
*u
= e
->data
;
191 if (!u
->t
) return NULL
;
192 uct_pondering_stop(u
);
198 uct_result(struct engine
*e
, struct board
*b
)
200 struct uct
*u
= e
->data
;
201 static char reply
[1024];
205 enum stone color
= u
->t
->root_color
;
206 struct tree_node
*n
= u
->t
->root
;
207 snprintf(reply
, 1024, "%s %s %d %.2f %.1f",
208 stone2str(color
), coord2sstr(node_coord(n
), b
),
209 n
->u
.playouts
, tree_node_get_value(u
->t
, -1, n
->u
.value
),
210 u
->t
->use_extra_komi
? u
->t
->extra_komi
: 0);
215 uct_chat(struct engine
*e
, struct board
*b
, bool opponent
, char *from
, char *cmd
)
217 struct uct
*u
= e
->data
;
220 return generic_chat(b
, opponent
, from
, cmd
, S_NONE
, pass
, 0, 1, u
->threads
, 0.0, 0.0);
222 struct tree_node
*n
= u
->t
->root
;
223 double winrate
= tree_node_get_value(u
->t
, -1, n
->u
.value
);
224 double extra_komi
= u
->t
->use_extra_komi
&& abs(u
->t
->extra_komi
) >= 0.5 ? u
->t
->extra_komi
: 0;
226 return generic_chat(b
, opponent
, from
, cmd
, u
->t
->root_color
, node_coord(n
), n
->u
.playouts
, 1,
227 u
->threads
, winrate
, extra_komi
);
231 uct_dead_group_list(struct engine
*e
, struct board
*b
, struct move_queue
*mq
)
233 struct uct
*u
= e
->data
;
235 /* This means the game is probably over, no use pondering on. */
236 uct_pondering_stop(u
);
238 if (u
->pass_all_alive
)
239 return; // no dead groups
241 bool mock_state
= false;
244 /* No state, but we cannot just back out - we might
245 * have passed earlier, only assuming some stones are
246 * dead, and then re-connected, only to lose counting
247 * when all stones are assumed alive. */
248 uct_prepare_move(u
, b
, S_BLACK
); assert(u
->t
);
251 /* Make sure the ownermap is well-seeded. */
252 while (u
->ownermap
.playouts
< GJ_MINGAMES
)
253 uct_playout(u
, b
, S_BLACK
, u
->t
);
254 /* Show the ownermap: */
256 board_print_custom(b
, stderr
, uct_printhook_ownermap
);
258 dead_group_list(u
, b
, mq
);
261 /* Clean up the mock state in case we will receive
262 * a genmove; we could get a non-alternating-move
263 * error from uct_prepare_move() in that case otherwise. */
269 playout_policy_done(struct playout_policy
*p
)
271 if (p
->done
) p
->done(p
);
272 if (p
->data
) free(p
->data
);
277 uct_done(struct engine
*e
)
279 /* This is called on engine reset, especially when clear_board
280 * is received and new game should begin. */
281 struct uct
*u
= e
->data
;
282 uct_pondering_stop(u
);
283 if (u
->t
) reset_state(u
);
284 free(u
->ownermap
.map
);
287 free(u
->random_policy
);
288 playout_policy_done(u
->playout
);
289 uct_prior_done(u
->prior
);
290 joseki_done(u
->jdict
);
291 pluginset_done(u
->plugins
);
296 /* Run time-limited MCTS search on foreground. */
298 uct_search(struct uct
*u
, struct board
*b
, struct time_info
*ti
, enum stone color
, struct tree
*t
, bool print_progress
)
300 struct uct_search_state s
;
301 uct_search_start(u
, b
, color
, t
, ti
, &s
);
302 if (UDEBUGL(2) && s
.base_playouts
> 0)
303 fprintf(stderr
, "<pre-simulated %d games>\n", s
.base_playouts
);
305 /* The search tree is ctx->t. This is currently == . It is important
306 * to reference ctx->t directly since the
307 * thread manager will swap the tree pointer asynchronously. */
309 /* Now, just periodically poll the search tree. */
310 /* Note that in case of TD_GAMES, threads will not wait for
311 * the uct_search_check_stop() signalization. */
313 time_sleep(TREE_BUSYWAIT_INTERVAL
);
314 /* TREE_BUSYWAIT_INTERVAL should never be less than desired time, or the
315 * time control is broken. But if it happens to be less, we still search
316 * at least 100ms otherwise the move is completely random. */
318 int i
= uct_search_games(&s
);
319 /* Print notifications etc. */
320 uct_search_progress(u
, b
, color
, t
, ti
, &s
, i
);
321 /* Check if we should stop the search. */
322 if (uct_search_check_stop(u
, b
, color
, t
, ti
, &s
, i
))
326 struct uct_thread_ctx
*ctx
= uct_search_stop();
327 if (UDEBUGL(2)) tree_dump(t
, u
->dumpthres
);
329 fprintf(stderr
, "(avg score %f/%d; dynkomi's %f/%d value %f/%d)\n",
330 t
->avg_score
.value
, t
->avg_score
.playouts
,
331 u
->dynkomi
->score
.value
, u
->dynkomi
->score
.playouts
,
332 u
->dynkomi
->value
.value
, u
->dynkomi
->value
.playouts
);
334 uct_progress_status(u
, t
, color
, ctx
->games
, NULL
);
336 u
->played_own
+= ctx
->games
;
340 /* Start pondering background with @color to play. */
342 uct_pondering_start(struct uct
*u
, struct board
*b0
, struct tree
*t
, enum stone color
)
345 fprintf(stderr
, "Starting to ponder with color %s\n", stone2str(stone_other(color
)));
348 /* We need a local board copy to ponder upon. */
349 struct board
*b
= malloc2(sizeof(*b
)); board_copy(b
, b0
);
351 /* *b0 did not have the genmove'd move played yet. */
352 struct move m
= { node_coord(t
->root
), t
->root_color
};
353 int res
= board_play(b
, &m
);
355 setup_dynkomi(u
, b
, stone_other(m
.color
));
357 /* Start MCTS manager thread "headless". */
358 static struct uct_search_state s
;
359 uct_search_start(u
, b
, color
, t
, NULL
, &s
);
362 /* uct_search_stop() frontend for the pondering (non-genmove) mode, and
363 * to stop the background search for a slave in the distributed engine. */
365 uct_pondering_stop(struct uct
*u
)
367 if (!thread_manager_running
)
370 /* Stop the thread manager. */
371 struct uct_thread_ctx
*ctx
= uct_search_stop();
373 if (u
->pondering
) fprintf(stderr
, "(pondering) ");
374 uct_progress_status(u
, ctx
->t
, ctx
->color
, ctx
->games
, NULL
);
378 u
->pondering
= false;
384 uct_genmove_setup(struct uct
*u
, struct board
*b
, enum stone color
)
386 if (b
->superko_violation
) {
387 fprintf(stderr
, "!!! WARNING: SUPERKO VIOLATION OCCURED BEFORE THIS MOVE\n");
388 fprintf(stderr
, "Maybe you play with situational instead of positional superko?\n");
389 fprintf(stderr
, "I'm going to ignore the violation, but note that I may miss\n");
390 fprintf(stderr
, "some moves valid under this ruleset because of this.\n");
391 b
->superko_violation
= false;
394 uct_prepare_move(u
, b
, color
);
399 /* How to decide whether to use dynkomi in this game? Since we use
400 * pondering, it's not simple "who-to-play" matter. Decide based on
401 * the last genmove issued. */
402 u
->t
->use_extra_komi
= !!(u
->dynkomi_mask
& color
);
403 setup_dynkomi(u
, b
, color
);
405 if (b
->rules
== RULES_JAPANESE
)
406 u
->territory_scoring
= true;
408 /* Make pessimistic assumption about komi for Japanese rules to
409 * avoid losing by 0.5 when winning by 0.5 with Chinese rules.
410 * The rules usually give the same winner if the integer part of komi
411 * is odd so we adjust the komi only if it is even (for a board of
412 * odd size). We are not trying to get an exact evaluation for rare
413 * cases of seki. For details see http://home.snafu.de/jasiek/parity.html */
414 if (u
->territory_scoring
&& (((int)floor(b
->komi
) + board_size(b
)) & 1)) {
415 b
->komi
+= (color
== S_BLACK
? 1.0 : -1.0);
417 fprintf(stderr
, "Setting komi to %.1f assuming Japanese rules\n",
423 uct_genmove(struct engine
*e
, struct board
*b
, struct time_info
*ti
, enum stone color
, bool pass_all_alive
)
425 double start_time
= time_now();
426 struct uct
*u
= e
->data
;
427 u
->pass_all_alive
|= pass_all_alive
;
428 uct_pondering_stop(u
);
429 uct_genmove_setup(u
, b
, color
);
431 /* Start the Monte Carlo Tree Search! */
432 int base_playouts
= u
->t
->root
->u
.playouts
;
433 int played_games
= uct_search(u
, b
, ti
, color
, u
->t
, false);
436 struct tree_node
*best
;
437 best
= uct_search_result(u
, b
, color
, u
->pass_all_alive
, played_games
, base_playouts
, &best_coord
);
440 double time
= time_now() - start_time
+ 0.000001; /* avoid divide by zero */
441 fprintf(stderr
, "genmove in %0.2fs (%d games/s, %d games/s/thread)\n",
442 time
, (int)(played_games
/time
), (int)(played_games
/time
/u
->threads
));
445 uct_progress_status(u
, u
->t
, color
, played_games
, &best_coord
);
448 /* Pass or resign. */
450 return coord_copy(best_coord
);
452 tree_promote_node(u
->t
, &best
);
454 /* After a pass, pondering is harmful for two reasons:
455 * (i) We might keep pondering even when the game is over.
456 * Of course this is the case for opponent resign as well.
457 * (ii) More importantly, the ownermap will get skewed since
458 * the UCT will start cutting off any playouts. */
459 if (u
->pondering_opt
&& !is_pass(node_coord(best
))) {
460 uct_pondering_start(u
, b
, u
->t
, stone_other(color
));
462 return coord_copy(best_coord
);
467 uct_gentbook(struct engine
*e
, struct board
*b
, struct time_info
*ti
, enum stone color
)
469 struct uct
*u
= e
->data
;
470 if (!u
->t
) uct_prepare_move(u
, b
, color
);
473 if (ti
->dim
== TD_GAMES
) {
474 /* Don't count in games that already went into the tbook. */
475 ti
->len
.games
+= u
->t
->root
->u
.playouts
;
477 uct_search(u
, b
, ti
, color
, u
->t
, true);
479 assert(ti
->dim
== TD_GAMES
);
480 tree_save(u
->t
, b
, ti
->len
.games
/ 100);
486 uct_dumptbook(struct engine
*e
, struct board
*b
, enum stone color
)
488 struct uct
*u
= e
->data
;
489 struct tree
*t
= tree_init(b
, color
, u
->fast_alloc
? u
->max_tree_size
: 0,
490 u
->max_pruned_size
, u
->pruning_threshold
, u
->local_tree_aging
, 0);
498 uct_evaluate_one(struct engine
*e
, struct board
*b
, struct time_info
*ti
, coord_t c
, enum stone color
)
500 struct uct
*u
= e
->data
;
504 struct move m
= { c
, color
};
505 int res
= board_play(&b2
, &m
);
508 color
= stone_other(color
);
510 if (u
->t
) reset_state(u
);
511 uct_prepare_move(u
, &b2
, color
);
515 uct_search(u
, &b2
, ti
, color
, u
->t
, true);
516 struct tree_node
*best
= u
->policy
->choose(u
->policy
, u
->t
->root
, &b2
, color
, resign
);
518 bestval
= NAN
; // the opponent has no reply!
520 bestval
= tree_node_get_value(u
->t
, 1, best
->u
.value
);
523 reset_state(u
); // clean our junk
525 return isnan(bestval
) ? NAN
: 1.0f
- bestval
;
529 uct_evaluate(struct engine
*e
, struct board
*b
, struct time_info
*ti
, floating_t
*vals
, enum stone color
)
531 for (int i
= 0; i
< b
->flen
; i
++) {
532 if (is_pass(b
->f
[i
]))
535 vals
[i
] = uct_evaluate_one(e
, b
, ti
, b
->f
[i
], color
);
541 uct_state_init(char *arg
, struct board
*b
)
543 struct uct
*u
= calloc2(1, sizeof(struct uct
));
544 bool pat_setup
= false;
546 u
->debug_level
= debug_level
;
547 u
->reportfreq
= 10000;
548 u
->gamelen
= MC_GAMELEN
;
549 u
->resign_threshold
= 0.2;
550 u
->sure_win_threshold
= 0.9;
552 u
->significant_threshold
= 50;
555 u
->playout_amaf
= true;
556 u
->amaf_prior
= false;
557 u
->max_tree_size
= 1408ULL * 1048576;
558 u
->fast_alloc
= true;
559 u
->pruning_threshold
= 0;
562 u
->thread_model
= TM_TREEVL
;
565 u
->fuseki_end
= 20; // max time at 361*20% = 72 moves (our 36th move, still 99 to play)
566 u
->yose_start
= 40; // (100-40-25)*361/100/2 = 63 moves still to play by us then
567 u
->bestr_ratio
= 0.02;
568 // 2.5 is clearly too much, but seems to compensate well for overly stern time allocations.
569 // TODO: Further tuning and experiments with better time allocation schemes.
570 u
->best2_ratio
= 2.5;
571 u
->max_maintime_ratio
= 3.0;
573 u
->val_scale
= 0; u
->val_points
= 40;
574 u
->dynkomi_interval
= 1000;
575 u
->dynkomi_mask
= S_BLACK
| S_WHITE
;
578 u
->local_tree_aging
= 80;
579 u
->local_tree_depth_decay
= 1.5;
580 u
->local_tree_eval
= LTE_ROOT
;
581 u
->local_tree_neival
= true;
585 u
->stats_delay
= 0.01; // 10 ms
587 u
->plugins
= pluginset_init(b
);
589 u
->jdict
= joseki_load(b
->size
);
592 char *optspec
, *next
= arg
;
595 next
+= strcspn(next
, ",");
596 if (*next
) { *next
++ = 0; } else { *next
= 0; }
598 char *optname
= optspec
;
599 char *optval
= strchr(optspec
, '=');
600 if (optval
) *optval
++ = 0;
604 if (!strcasecmp(optname
, "debug")) {
606 u
->debug_level
= atoi(optval
);
609 } else if (!strcasecmp(optname
, "reporting") && optval
) {
610 /* The format of output for detailed progress
611 * information (such as current best move and
612 * its value, etc.). */
613 if (!strcasecmp(optval
, "text")) {
614 /* Plaintext traditional output. */
615 u
->reporting
= UR_TEXT
;
616 } else if (!strcasecmp(optval
, "json")) {
617 /* JSON output. Implies debug=0. */
618 u
->reporting
= UR_JSON
;
620 } else if (!strcasecmp(optval
, "jsonbig")) {
621 /* JSON output, but much more detailed.
622 * Implies debug=0. */
623 u
->reporting
= UR_JSON_BIG
;
626 fprintf(stderr
, "UCT: Invalid reporting format %s\n", optval
);
629 } else if (!strcasecmp(optname
, "reportfreq") && optval
) {
630 /* The progress information line will be shown
631 * every <reportfreq> simulations. */
632 u
->reportfreq
= atoi(optval
);
633 } else if (!strcasecmp(optname
, "dumpthres") && optval
) {
634 /* When dumping the UCT tree on output, include
635 * nodes with at least this many playouts.
636 * (This value is re-scaled "intelligently"
637 * in case of very large trees.) */
638 u
->dumpthres
= atoi(optval
);
639 } else if (!strcasecmp(optname
, "resign_threshold") && optval
) {
640 /* Resign when this ratio of games is lost
641 * after GJ_MINGAMES sample is taken. */
642 u
->resign_threshold
= atof(optval
);
643 } else if (!strcasecmp(optname
, "sure_win_threshold") && optval
) {
644 /* Stop reading when this ratio of games is won
645 * after PLAYOUT_EARLY_BREAK_MIN sample is
646 * taken. (Prevents stupid time losses,
647 * friendly to human opponents.) */
648 u
->sure_win_threshold
= atof(optval
);
649 } else if (!strcasecmp(optname
, "force_seed") && optval
) {
650 /* Set RNG seed at the tree setup. */
651 u
->force_seed
= atoi(optval
);
652 } else if (!strcasecmp(optname
, "no_tbook")) {
653 /* Disable UCT opening tbook. */
655 } else if (!strcasecmp(optname
, "pass_all_alive")) {
656 /* Whether to consider passing only after all
657 * dead groups were removed from the board;
658 * this is like all genmoves are in fact
659 * kgs-genmove_cleanup. */
660 u
->pass_all_alive
= !optval
|| atoi(optval
);
661 } else if (!strcasecmp(optname
, "territory_scoring")) {
662 /* Use territory scoring (default is area scoring).
663 * An explicit kgs-rules command overrides this. */
664 u
->territory_scoring
= !optval
|| atoi(optval
);
665 } else if (!strcasecmp(optname
, "stones_only")) {
666 /* Do not count eyes. Nice to teach go to kids.
667 * http://strasbourg.jeudego.org/regle_strasbourgeoise.htm */
668 b
->rules
= RULES_STONES_ONLY
;
669 u
->pass_all_alive
= true;
670 } else if (!strcasecmp(optname
, "banner") && optval
) {
671 /* Additional banner string. This must come as the
672 * last engine parameter. */
673 if (*next
) *--next
= ',';
674 u
->banner
= strdup(optval
);
676 } else if (!strcasecmp(optname
, "plugin") && optval
) {
677 /* Load an external plugin; filename goes before the colon,
678 * extra arguments after the colon. */
679 char *pluginarg
= strchr(optval
, ':');
682 plugin_load(u
->plugins
, optval
, pluginarg
);
684 /** UCT behavior and policies */
686 } else if ((!strcasecmp(optname
, "policy")
687 /* Node selection policy. ucb1amaf is the
688 * default policy implementing RAVE, while
689 * ucb1 is the simple exploration/exploitation
690 * policy. Policies can take further extra
692 || !strcasecmp(optname
, "random_policy")) && optval
) {
693 /* A policy to be used randomly with small
694 * chance instead of the default policy. */
695 char *policyarg
= strchr(optval
, ':');
696 struct uct_policy
**p
= !strcasecmp(optname
, "policy") ? &u
->policy
: &u
->random_policy
;
699 if (!strcasecmp(optval
, "ucb1")) {
700 *p
= policy_ucb1_init(u
, policyarg
);
701 } else if (!strcasecmp(optval
, "ucb1amaf")) {
702 *p
= policy_ucb1amaf_init(u
, policyarg
, b
);
704 fprintf(stderr
, "UCT: Invalid tree policy %s\n", optval
);
707 } else if (!strcasecmp(optname
, "playout") && optval
) {
708 /* Random simulation (playout) policy.
709 * moggy is the default policy with large
710 * amount of domain-specific knowledge and
711 * heuristics. light is a simple uniformly
712 * random move selection policy. */
713 char *playoutarg
= strchr(optval
, ':');
716 if (!strcasecmp(optval
, "moggy")) {
717 u
->playout
= playout_moggy_init(playoutarg
, b
, u
->jdict
);
718 } else if (!strcasecmp(optval
, "light")) {
719 u
->playout
= playout_light_init(playoutarg
, b
);
721 fprintf(stderr
, "UCT: Invalid playout policy %s\n", optval
);
724 } else if (!strcasecmp(optname
, "prior") && optval
) {
725 /* Node priors policy. When expanding a node,
726 * it will seed node values heuristically
727 * (most importantly, based on playout policy
728 * opinion, but also with regard to other
729 * things). See uct/prior.c for details.
730 * Use prior=eqex=0 to disable priors. */
731 u
->prior
= uct_prior_init(optval
, b
, u
);
732 } else if (!strcasecmp(optname
, "mercy") && optval
) {
733 /* Minimal difference of black/white captures
734 * to stop playout - "Mercy Rule". Speeds up
735 * hopeless playouts at the expense of some
737 u
->mercymin
= atoi(optval
);
738 } else if (!strcasecmp(optname
, "gamelen") && optval
) {
739 /* Maximum length of single simulation
741 u
->gamelen
= atoi(optval
);
742 } else if (!strcasecmp(optname
, "expand_p") && optval
) {
743 /* Expand UCT nodes after it has been
744 * visited this many times. */
745 u
->expand_p
= atoi(optval
);
746 } else if (!strcasecmp(optname
, "random_policy_chance") && optval
) {
747 /* If specified (N), with probability 1/N, random_policy policy
748 * descend is used instead of main policy descend; useful
749 * if specified policy (e.g. UCB1AMAF) can make unduly biased
750 * choices sometimes, you can fall back to e.g.
751 * random_policy=UCB1. */
752 u
->random_policy_chance
= atoi(optval
);
754 /** General AMAF behavior */
755 /* (Only relevant if the policy supports AMAF.
756 * More variables can be tuned as policy
759 } else if (!strcasecmp(optname
, "playout_amaf")) {
760 /* Whether to include random playout moves in
761 * AMAF as well. (Otherwise, only tree moves
762 * are included in AMAF. Of course makes sense
763 * only in connection with an AMAF policy.) */
764 /* with-without: 55.5% (+-4.1) */
765 if (optval
&& *optval
== '0')
766 u
->playout_amaf
= false;
768 u
->playout_amaf
= true;
769 } else if (!strcasecmp(optname
, "playout_amaf_cutoff") && optval
) {
770 /* Keep only first N% of playout stage AMAF
772 u
->playout_amaf_cutoff
= atoi(optval
);
773 } else if (!strcasecmp(optname
, "amaf_prior") && optval
) {
774 /* In node policy, consider prior values
775 * part of the real result term or part
776 * of the AMAF term? */
777 u
->amaf_prior
= atoi(optval
);
779 /** Performance and memory management */
781 } else if (!strcasecmp(optname
, "threads") && optval
) {
782 /* By default, Pachi will run with only single
783 * tree search thread! */
784 u
->threads
= atoi(optval
);
785 } else if (!strcasecmp(optname
, "thread_model") && optval
) {
786 if (!strcasecmp(optval
, "tree")) {
787 /* Tree parallelization - all threads
788 * grind on the same tree. */
789 u
->thread_model
= TM_TREE
;
791 } else if (!strcasecmp(optval
, "treevl")) {
792 /* Tree parallelization, but also
793 * with virtual losses - this discou-
794 * rages most threads choosing the
795 * same tree branches to read. */
796 u
->thread_model
= TM_TREEVL
;
798 fprintf(stderr
, "UCT: Invalid thread model %s\n", optval
);
801 } else if (!strcasecmp(optname
, "virtual_loss")) {
802 /* Number of virtual losses added before evaluating a node. */
803 u
->virtual_loss
= !optval
|| atoi(optval
);
804 } else if (!strcasecmp(optname
, "pondering")) {
805 /* Keep searching even during opponent's turn. */
806 u
->pondering_opt
= !optval
|| atoi(optval
);
807 } else if (!strcasecmp(optname
, "max_tree_size") && optval
) {
808 /* Maximum amount of memory [MiB] consumed by the move tree.
809 * For fast_alloc it includes the temp tree used for pruning.
810 * Default is 3072 (3 GiB). */
811 u
->max_tree_size
= atol(optval
) * 1048576;
812 } else if (!strcasecmp(optname
, "fast_alloc")) {
813 u
->fast_alloc
= !optval
|| atoi(optval
);
814 } else if (!strcasecmp(optname
, "pruning_threshold") && optval
) {
815 /* Force pruning at beginning of a move if the tree consumes
816 * more than this [MiB]. Default is 10% of max_tree_size.
817 * Increase to reduce pruning time overhead if memory is plentiful.
818 * This option is meaningful only for fast_alloc. */
819 u
->pruning_threshold
= atol(optval
) * 1048576;
823 } else if (!strcasecmp(optname
, "best2_ratio") && optval
) {
824 /* If set, prolong simulating while
825 * first_best/second_best playouts ratio
826 * is less than best2_ratio. */
827 u
->best2_ratio
= atof(optval
);
828 } else if (!strcasecmp(optname
, "bestr_ratio") && optval
) {
829 /* If set, prolong simulating while
830 * best,best_best_child values delta
831 * is more than bestr_ratio. */
832 u
->bestr_ratio
= atof(optval
);
833 } else if (!strcasecmp(optname
, "max_maintime_ratio") && optval
) {
834 /* If set and while not in byoyomi, prolong simulating no more than
835 * max_maintime_ratio times the normal desired thinking time. */
836 u
->max_maintime_ratio
= atof(optval
);
837 } else if (!strcasecmp(optname
, "fuseki_end") && optval
) {
838 /* At the very beginning it's not worth thinking
839 * too long because the playout evaluations are
840 * very noisy. So gradually increase the thinking
841 * time up to maximum when fuseki_end percent
842 * of the board has been played.
843 * This only applies if we are not in byoyomi. */
844 u
->fuseki_end
= atoi(optval
);
845 } else if (!strcasecmp(optname
, "yose_start") && optval
) {
846 /* When yose_start percent of the board has been
847 * played, or if we are in byoyomi, stop spending
848 * more time and spread the remaining time
850 * Between fuseki_end and yose_start, we spend
851 * a constant proportion of the remaining time
852 * on each move. (yose_start should actually
853 * be much earlier than when real yose start,
854 * but "yose" is a good short name to convey
856 u
->yose_start
= atoi(optval
);
860 } else if (!strcasecmp(optname
, "dynkomi") && optval
) {
861 /* Dynamic komi approach; there are multiple
862 * ways to adjust komi dynamically throughout
863 * play. We currently support two: */
864 char *dynkomiarg
= strchr(optval
, ':');
867 if (!strcasecmp(optval
, "none")) {
868 u
->dynkomi
= uct_dynkomi_init_none(u
, dynkomiarg
, b
);
869 } else if (!strcasecmp(optval
, "linear")) {
870 /* You should set dynkomi_mask=1 or a very low
871 * handicap_value for white. */
872 u
->dynkomi
= uct_dynkomi_init_linear(u
, dynkomiarg
, b
);
873 } else if (!strcasecmp(optval
, "adaptive")) {
874 /* There are many more knobs to
875 * crank - see uct/dynkomi.c. */
876 u
->dynkomi
= uct_dynkomi_init_adaptive(u
, dynkomiarg
, b
);
878 fprintf(stderr
, "UCT: Invalid dynkomi mode %s\n", optval
);
881 } else if (!strcasecmp(optname
, "dynkomi_mask") && optval
) {
882 /* Bitmask of colors the player must be
883 * for dynkomi be applied; the default dynkomi_mask=3 allows
884 * dynkomi even in games where Pachi is white. */
885 u
->dynkomi_mask
= atoi(optval
);
886 } else if (!strcasecmp(optname
, "dynkomi_interval") && optval
) {
887 /* If non-zero, re-adjust dynamic komi
888 * throughout a single genmove reading,
889 * roughly every N simulations. */
890 /* XXX: Does not work with tree
891 * parallelization. */
892 u
->dynkomi_interval
= atoi(optval
);
894 /** Node value result scaling */
896 } else if (!strcasecmp(optname
, "val_scale") && optval
) {
897 /* How much of the game result value should be
898 * influenced by win size. Zero means it isn't. */
899 u
->val_scale
= atof(optval
);
900 } else if (!strcasecmp(optname
, "val_points") && optval
) {
901 /* Maximum size of win to be scaled into game
902 * result value. Zero means boardsize^2. */
903 u
->val_points
= atoi(optval
) * 2; // result values are doubled
904 } else if (!strcasecmp(optname
, "val_extra")) {
905 /* If false, the score coefficient will be simply
906 * added to the value, instead of scaling the result
907 * coefficient because of it. */
908 u
->val_extra
= !optval
|| atoi(optval
);
911 /* (Purely experimental. Does not work - yet!) */
913 } else if (!strcasecmp(optname
, "local_tree")) {
914 /* Whether to bias exploration by local tree values. */
915 u
->local_tree
= !optval
|| atoi(optval
);
916 } else if (!strcasecmp(optname
, "tenuki_d") && optval
) {
917 /* Tenuki distance at which to break the local tree. */
918 u
->tenuki_d
= atoi(optval
);
919 if (u
->tenuki_d
> TREE_NODE_D_MAX
+ 1) {
920 fprintf(stderr
, "uct: tenuki_d must not be larger than TREE_NODE_D_MAX+1 %d\n", TREE_NODE_D_MAX
+ 1);
923 } else if (!strcasecmp(optname
, "local_tree_aging") && optval
) {
924 /* How much to reduce local tree values between moves. */
925 u
->local_tree_aging
= atof(optval
);
926 } else if (!strcasecmp(optname
, "local_tree_depth_decay") && optval
) {
927 /* With value x>0, during the descent the node
928 * contributes 1/x^depth playouts in
929 * the local tree. I.e., with x>1, nodes more
930 * distant from local situation contribute more
931 * than nodes near the root. */
932 u
->local_tree_depth_decay
= atof(optval
);
933 } else if (!strcasecmp(optname
, "local_tree_allseq")) {
934 /* If disabled, only complete sequences are stored
935 * in the local tree. If this is on, also
936 * subsequences starting at each move are stored. */
937 u
->local_tree_allseq
= !optval
|| atoi(optval
);
938 } else if (!strcasecmp(optname
, "local_tree_neival")) {
939 /* If disabled, local node value is not
940 * computed just based on terminal status
941 * of the coordinate, but also its neighbors. */
942 u
->local_tree_neival
= !optval
|| atoi(optval
);
943 } else if (!strcasecmp(optname
, "local_tree_eval")) {
944 /* How is the value inserted in the local tree
946 if (!strcasecmp(optval
, "root"))
947 /* All moves within a tree branch are
948 * considered wrt. their merit
949 * reaching tachtical goal of making
950 * the first move in the branch
952 u
->local_tree_eval
= LTE_ROOT
;
953 else if (!strcasecmp(optval
, "each"))
954 /* Each move is considered wrt.
955 * its own survival. */
956 u
->local_tree_eval
= LTE_EACH
;
957 else if (!strcasecmp(optval
, "total"))
958 /* The tactical goal is the survival
959 * of all the moves of my color and
960 * non-survival of all the opponent
961 * moves. Local values (and their
962 * inverses) are averaged. */
963 u
->local_tree_eval
= LTE_TOTAL
;
965 fprintf(stderr
, "uct: unknown local_tree_eval %s\n", optval
);
968 } else if (!strcasecmp(optname
, "local_tree_rootchoose")) {
969 /* If disabled, only moves within the local
970 * tree branch are considered; the values
971 * of the branch roots (i.e. root children)
972 * are ignored. This may make sense together
973 * with eval!=each, we consider only moves
974 * that influence the goal, not the "rating"
975 * of the goal itself. (The real solution
976 * will be probably using criticality to pick
977 * local tree branches.) */
978 u
->local_tree_rootchoose
= !optval
|| atoi(optval
);
980 /** Other heuristics */
981 } else if (!strcasecmp(optname
, "patterns")) {
982 /* Load pattern database. Various modules
983 * (priors, policies etc.) may make use
984 * of this database. They will request
985 * it automatically in that case, but you
986 * can use this option to tweak the pattern
988 patterns_init(&u
->pat
, optval
, false, true);
989 u
->want_pat
= pat_setup
= true;
990 } else if (!strcasecmp(optname
, "significant_threshold") && optval
) {
991 /* Some heuristics (XXX: none in mainline) rely
992 * on the knowledge of the last "significant"
993 * node in the descent. Such a node is
994 * considered reasonably trustworthy to carry
995 * some meaningful information in the values
996 * of the node and its children. */
997 u
->significant_threshold
= atoi(optval
);
999 /** Distributed engine slaves setup */
1001 } else if (!strcasecmp(optname
, "slave")) {
1002 /* Act as slave for the distributed engine. */
1003 u
->slave
= !optval
|| atoi(optval
);
1004 } else if (!strcasecmp(optname
, "slave_index") && optval
) {
1005 /* Optional index if per-slave behavior is desired.
1006 * Must be given as index/max */
1007 u
->slave_index
= atoi(optval
);
1008 char *p
= strchr(optval
, '/');
1009 if (p
) u
->max_slaves
= atoi(++p
);
1010 } else if (!strcasecmp(optname
, "shared_nodes") && optval
) {
1011 /* Share at most shared_nodes between master and slave at each genmoves.
1012 * Must use the same value in master and slaves. */
1013 u
->shared_nodes
= atoi(optval
);
1014 } else if (!strcasecmp(optname
, "shared_levels") && optval
) {
1015 /* Share only nodes of level <= shared_levels. */
1016 u
->shared_levels
= atoi(optval
);
1017 } else if (!strcasecmp(optname
, "stats_hbits") && optval
) {
1018 /* Set hash table size to 2^stats_hbits for the shared stats. */
1019 u
->stats_hbits
= atoi(optval
);
1020 } else if (!strcasecmp(optname
, "stats_delay") && optval
) {
1021 /* How long to wait in slave for initial stats to build up before
1022 * replying to the genmoves command (in ms) */
1023 u
->stats_delay
= 0.001 * atof(optval
);
1026 fprintf(stderr
, "uct: Invalid engine argument %s or missing value\n", optname
);
1033 u
->policy
= policy_ucb1amaf_init(u
, NULL
, b
);
1035 if (!!u
->random_policy_chance
^ !!u
->random_policy
) {
1036 fprintf(stderr
, "uct: Only one of random_policy and random_policy_chance is set\n");
1040 if (!u
->local_tree
) {
1041 /* No ltree aging. */
1042 u
->local_tree_aging
= 1.0f
;
1045 if (u
->fast_alloc
) {
1046 if (u
->pruning_threshold
< u
->max_tree_size
/ 10)
1047 u
->pruning_threshold
= u
->max_tree_size
/ 10;
1048 if (u
->pruning_threshold
> u
->max_tree_size
/ 2)
1049 u
->pruning_threshold
= u
->max_tree_size
/ 2;
1051 /* Limit pruning temp space to 20% of memory. Beyond this we discard
1052 * the nodes and recompute them at the next move if necessary. */
1053 u
->max_pruned_size
= u
->max_tree_size
/ 5;
1054 u
->max_tree_size
-= u
->max_pruned_size
;
1056 /* Reserve 5% memory in case the background free() are slower
1057 * than the concurrent allocations. */
1058 u
->max_tree_size
-= u
->max_tree_size
/ 20;
1062 u
->prior
= uct_prior_init(NULL
, b
, u
);
1065 u
->playout
= playout_moggy_init(NULL
, b
, u
->jdict
);
1066 if (!u
->playout
->debug_level
)
1067 u
->playout
->debug_level
= u
->debug_level
;
1069 if (u
->want_pat
&& !pat_setup
)
1070 patterns_init(&u
->pat
, NULL
, false, true);
1072 u
->ownermap
.map
= malloc2(board_size2(b
) * sizeof(u
->ownermap
.map
[0]));
1075 if (!u
->stats_hbits
) u
->stats_hbits
= DEFAULT_STATS_HBITS
;
1076 if (!u
->shared_nodes
) u
->shared_nodes
= DEFAULT_SHARED_NODES
;
1077 assert(u
->shared_levels
* board_bits2(b
) <= 8 * (int)sizeof(path_t
));
1081 u
->dynkomi
= uct_dynkomi_init_linear(u
, NULL
, b
);
1083 /* Some things remain uninitialized for now - the opening tbook
1084 * is not loaded and the tree not set up. */
1085 /* This will be initialized in setup_state() at the first move
1086 * received/requested. This is because right now we are not aware
1087 * about any komi or handicap setup and such. */
1093 engine_uct_init(char *arg
, struct board
*b
)
1095 struct uct
*u
= uct_state_init(arg
, b
);
1096 struct engine
*e
= calloc2(1, sizeof(struct engine
));
1098 e
->printhook
= uct_printhook_ownermap
;
1099 e
->notify_play
= uct_notify_play
;
1102 e
->result
= uct_result
;
1103 e
->genmove
= uct_genmove
;
1104 e
->genmoves
= uct_genmoves
;
1105 e
->evaluate
= uct_evaluate
;
1106 e
->dead_group_list
= uct_dead_group_list
;
1110 e
->notify
= uct_notify
;
1112 const char banner
[] = "If you believe you have won but I am still playing, "
1113 "please help me understand by capturing all dead stones. "
1114 "Anyone can send me 'winrate' in private chat to get my assessment of the position.";
1115 if (!u
->banner
) u
->banner
= "";
1116 e
->comment
= malloc2(sizeof(banner
) + strlen(u
->banner
) + 1);
1117 sprintf(e
->comment
, "%s %s", banner
, u
->banner
);