UCT reporting: Introduce new option, factor out uct_progress_text()
[pachi.git] / uct / uct.c
blob24e6002ecfd0c294c2fafadb9c97a3798d6fe07f
1 #include <assert.h>
2 #include <math.h>
3 #include <stdio.h>
4 #include <stdlib.h>
5 #include <string.h>
6 #include <time.h>
8 #define DEBUG
10 #include "debug.h"
11 #include "board.h"
12 #include "gtp.h"
13 #include "move.h"
14 #include "mq.h"
15 #include "joseki/base.h"
16 #include "playout.h"
17 #include "playout/moggy.h"
18 #include "playout/light.h"
19 #include "tactics/util.h"
20 #include "timeinfo.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"
27 #include "uct/tree.h"
28 #include "uct/uct.h"
29 #include "uct/walk.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);
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
39 static void
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);
44 if (u->force_seed)
45 fast_srandom(u->force_seed);
46 if (UDEBUGL(0))
47 fprintf(stderr, "Fresh board with random seed %lu\n", fast_getseed());
48 //board_print(b, stderr);
49 if (!u->no_tbook && b->moves == 0) {
50 assert(color == S_BLACK);
51 tree_load(u->t, b);
55 static void
56 reset_state(struct uct *u)
58 assert(u->t);
59 tree_done(u->t); u->t = NULL;
62 static void
63 setup_dynkomi(struct uct *u, struct board *b, enum stone to_play)
65 if (u->t->use_extra_komi && !u->pondering && u->dynkomi->permove)
66 u->t->extra_komi = u->dynkomi->permove(u->dynkomi, b, u->t);
67 else if (!u->t->use_extra_komi)
68 u->t->extra_komi = 0;
71 void
72 uct_prepare_move(struct uct *u, struct board *b, enum stone color)
74 if (u->t) {
75 /* Verify that we have sane state. */
76 assert(b->es == u);
77 assert(u->t && b->moves);
78 if (color != stone_other(u->t->root_color)) {
79 fprintf(stderr, "Fatal: Non-alternating play detected %d %d\n",
80 color, u->t->root_color);
81 exit(1);
83 uct_htable_reset(u->t);
85 } else {
86 /* We need fresh state. */
87 b->es = u;
88 setup_state(u, b, color);
91 u->ownermap.playouts = 0;
92 memset(u->ownermap.map, 0, board_size2(b) * sizeof(u->ownermap.map[0]));
93 u->played_own = u->played_all = 0;
96 static void
97 dead_group_list(struct uct *u, struct board *b, struct move_queue *mq)
99 struct group_judgement gj;
100 gj.thres = GJ_THRES;
101 gj.gs = alloca(board_size2(b) * sizeof(gj.gs[0]));
102 board_ownermap_judge_group(b, &u->ownermap, &gj);
103 groups_of_status(b, &gj, GS_DEAD, mq);
106 bool
107 uct_pass_is_safe(struct uct *u, struct board *b, enum stone color, bool pass_all_alive)
109 if (u->ownermap.playouts < GJ_MINGAMES)
110 return false;
112 struct move_queue mq = { .moves = 0 };
113 dead_group_list(u, b, &mq);
114 if (pass_all_alive && mq.moves > 0)
115 return false; // We need to remove some dead groups first.
116 return pass_is_safe(b, color, &mq);
119 static char *
120 uct_printhook_ownermap(struct board *board, coord_t c, char *s, char *end)
122 struct uct *u = board->es;
123 if (!u) {
124 strcat(s, ". ");
125 return s + 2;
127 const char chr[] = ":XO,"; // dame, black, white, unclear
128 const char chm[] = ":xo,";
129 char ch = chr[board_ownermap_judge_point(&u->ownermap, c, GJ_THRES)];
130 if (ch == ',') { // less precise estimate then?
131 ch = chm[board_ownermap_judge_point(&u->ownermap, c, 0.67)];
133 s += snprintf(s, end - s, "%c ", ch);
134 return s;
137 static char *
138 uct_notify_play(struct engine *e, struct board *b, struct move *m)
140 struct uct *u = e->data;
141 if (!u->t) {
142 /* No state, create one - this is probably game beginning
143 * and we need to load the opening tbook right now. */
144 uct_prepare_move(u, b, m->color);
145 assert(u->t);
148 /* Stop pondering, required by tree_promote_at() */
149 uct_pondering_stop(u);
150 if (UDEBUGL(2) && u->slave)
151 tree_dump(u->t, u->dumpthres);
153 if (is_resign(m->coord)) {
154 /* Reset state. */
155 reset_state(u);
156 return NULL;
159 /* Promote node of the appropriate move to the tree root. */
160 assert(u->t->root);
161 if (!tree_promote_at(u->t, b, m->coord)) {
162 if (UDEBUGL(0))
163 fprintf(stderr, "Warning: Cannot promote move node! Several play commands in row?\n");
164 reset_state(u);
165 return NULL;
168 /* If we are a slave in a distributed engine, start pondering once
169 * we know which move we actually played. See uct_genmove() about
170 * the check for pass. */
171 if (u->pondering_opt && u->slave && m->color == u->my_color && !is_pass(m->coord))
172 uct_pondering_start(u, b, u->t, stone_other(m->color));
174 return NULL;
177 static char *
178 uct_undo(struct engine *e, struct board *b)
180 struct uct *u = e->data;
182 if (!u->t) return NULL;
183 uct_pondering_stop(u);
184 reset_state(u);
185 return NULL;
188 static char *
189 uct_result(struct engine *e, struct board *b)
191 struct uct *u = e->data;
192 static char reply[1024];
194 if (!u->t)
195 return NULL;
196 enum stone color = u->t->root_color;
197 struct tree_node *n = u->t->root;
198 snprintf(reply, 1024, "%s %s %d %.2f %.1f",
199 stone2str(color), coord2sstr(n->coord, b),
200 n->u.playouts, tree_node_get_value(u->t, -1, n->u.value),
201 u->t->use_extra_komi ? u->t->extra_komi : 0);
202 return reply;
205 static char *
206 uct_chat(struct engine *e, struct board *b, char *cmd)
208 struct uct *u = e->data;
209 static char reply[1024];
211 cmd += strspn(cmd, " \n\t");
212 if (!strncasecmp(cmd, "winrate", 7)) {
213 if (!u->t)
214 return "no game context (yet?)";
215 enum stone color = u->t->root_color;
216 struct tree_node *n = u->t->root;
217 snprintf(reply, 1024, "In %d playouts at %d threads, %s %s can win with %.2f%% probability",
218 n->u.playouts, u->threads, stone2str(color), coord2sstr(n->coord, b),
219 tree_node_get_value(u->t, -1, n->u.value) * 100);
220 if (u->t->use_extra_komi && abs(u->t->extra_komi) >= 0.5) {
221 sprintf(reply + strlen(reply), ", while self-imposing extra komi %.1f",
222 u->t->extra_komi);
224 strcat(reply, ".");
225 return reply;
227 return NULL;
230 static void
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;
243 if (!u->t) {
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);
249 mock_state = true;
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: */
255 if (DEBUGL(2))
256 board_print_custom(b, stderr, uct_printhook_ownermap);
258 dead_group_list(u, b, mq);
260 if (mock_state) {
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. */
264 reset_state(u);
268 static void
269 playout_policy_done(struct playout_policy *p)
271 if (p->done) p->done(p);
272 if (p->data) free(p->data);
273 free(p);
276 static void
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);
286 free(u->policy);
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. */
297 static int
298 uct_search(struct uct *u, struct board *b, struct time_info *ti, enum stone color, struct tree *t)
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 terminate independently
311 * of the uct_search_check_stop() signalization. */
312 while (1) {
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))
323 break;
326 struct uct_thread_ctx *ctx = uct_search_stop();
327 if (UDEBUGL(2)) tree_dump(t, u->dumpthres);
328 if (UDEBUGL(2))
329 fprintf(stderr, "(avg score %f/%d value %f/%d)\n",
330 u->dynkomi->score.value, u->dynkomi->score.playouts,
331 u->dynkomi->value.value, u->dynkomi->value.playouts);
332 uct_progress_status(u, t, color, ctx->games, true);
334 u->played_own += ctx->games;
335 return ctx->games;
338 /* Start pondering background with @color to play. */
339 static void
340 uct_pondering_start(struct uct *u, struct board *b0, struct tree *t, enum stone color)
342 if (UDEBUGL(1))
343 fprintf(stderr, "Starting to ponder with color %s\n", stone2str(stone_other(color)));
344 u->pondering = true;
346 /* We need a local board copy to ponder upon. */
347 struct board *b = malloc2(sizeof(*b)); board_copy(b, b0);
349 /* *b0 did not have the genmove'd move played yet. */
350 struct move m = { t->root->coord, t->root_color };
351 int res = board_play(b, &m);
352 assert(res >= 0);
353 setup_dynkomi(u, b, stone_other(m.color));
355 /* Start MCTS manager thread "headless". */
356 static struct uct_search_state s;
357 uct_search_start(u, b, color, t, NULL, &s);
360 /* uct_search_stop() frontend for the pondering (non-genmove) mode, and
361 * to stop the background search for a slave in the distributed engine. */
362 void
363 uct_pondering_stop(struct uct *u)
365 if (!thread_manager_running)
366 return;
368 /* Stop the thread manager. */
369 struct uct_thread_ctx *ctx = uct_search_stop();
370 if (UDEBUGL(1)) {
371 if (u->pondering) fprintf(stderr, "(pondering) ");
372 uct_progress_status(u, ctx->t, ctx->color, ctx->games, true);
374 if (u->pondering) {
375 free(ctx->b);
376 u->pondering = false;
381 void
382 uct_genmove_setup(struct uct *u, struct board *b, enum stone color)
384 if (b->superko_violation) {
385 fprintf(stderr, "!!! WARNING: SUPERKO VIOLATION OCCURED BEFORE THIS MOVE\n");
386 fprintf(stderr, "Maybe you play with situational instead of positional superko?\n");
387 fprintf(stderr, "I'm going to ignore the violation, but note that I may miss\n");
388 fprintf(stderr, "some moves valid under this ruleset because of this.\n");
389 b->superko_violation = false;
392 uct_prepare_move(u, b, color);
394 assert(u->t);
395 u->my_color = color;
397 /* How to decide whether to use dynkomi in this game? Since we use
398 * pondering, it's not simple "who-to-play" matter. Decide based on
399 * the last genmove issued. */
400 u->t->use_extra_komi = !!(u->dynkomi_mask & color);
401 /* Moreover, we do not use extra komi at the game end - we are not
402 * to fool ourselves at this point. */
403 if (board_estimated_moves_left(b) <= MIN_MOVES_LEFT)
404 u->t->use_extra_komi = false;
405 setup_dynkomi(u, b, color);
407 if (b->rules == RULES_JAPANESE)
408 u->territory_scoring = true;
410 /* Make pessimistic assumption about komi for Japanese rules to
411 * avoid losing by 0.5 when winning by 0.5 with Chinese rules.
412 * The rules usually give the same winner if the integer part of komi
413 * is odd so we adjust the komi only if it is even (for a board of
414 * odd size). We are not trying to get an exact evaluation for rare
415 * cases of seki. For details see http://home.snafu.de/jasiek/parity.html */
416 if (u->territory_scoring && (((int)floor(b->komi) + board_size(b)) & 1)) {
417 b->komi += (color == S_BLACK ? 1.0 : -1.0);
418 if (UDEBUGL(0))
419 fprintf(stderr, "Setting komi to %.1f assuming Japanese rules\n",
420 b->komi);
424 static coord_t *
425 uct_genmove(struct engine *e, struct board *b, struct time_info *ti, enum stone color, bool pass_all_alive)
427 double start_time = time_now();
428 struct uct *u = e->data;
429 uct_pondering_stop(u);
430 uct_genmove_setup(u, b, color);
432 /* Start the Monte Carlo Tree Search! */
433 int base_playouts = u->t->root->u.playouts;
434 int played_games = uct_search(u, b, ti, color, u->t);
436 coord_t best_coord;
437 struct tree_node *best;
438 best = uct_search_result(u, b, color, pass_all_alive, played_games, base_playouts, &best_coord);
440 if (UDEBUGL(2)) {
441 double time = time_now() - start_time + 0.000001; /* avoid divide by zero */
442 fprintf(stderr, "genmove in %0.2fs (%d games/s, %d games/s/thread)\n",
443 time, (int)(played_games/time), (int)(played_games/time/u->threads));
446 if (!best) {
447 /* Pass or resign. */
448 reset_state(u);
449 return coord_copy(best_coord);
451 tree_promote_node(u->t, &best);
453 /* After a pass, pondering is harmful for two reasons:
454 * (i) We might keep pondering even when the game is over.
455 * Of course this is the case for opponent resign as well.
456 * (ii) More importantly, the ownermap will get skewed since
457 * the UCT will start cutting off any playouts. */
458 if (u->pondering_opt && !is_pass(best->coord)) {
459 uct_pondering_start(u, b, u->t, stone_other(color));
461 return coord_copy(best_coord);
465 bool
466 uct_gentbook(struct engine *e, struct board *b, struct time_info *ti, enum stone color)
468 struct uct *u = e->data;
469 if (!u->t) uct_prepare_move(u, b, color);
470 assert(u->t);
472 if (ti->dim == TD_GAMES) {
473 /* Don't count in games that already went into the tbook. */
474 ti->len.games += u->t->root->u.playouts;
476 uct_search(u, b, ti, color, u->t);
478 assert(ti->dim == TD_GAMES);
479 tree_save(u->t, b, ti->len.games / 100);
481 return true;
484 void
485 uct_dumptbook(struct engine *e, struct board *b, enum stone color)
487 struct uct *u = e->data;
488 struct tree *t = tree_init(b, color, u->fast_alloc ? u->max_tree_size : 0,
489 u->max_pruned_size, u->pruning_threshold, u->local_tree_aging, 0);
490 tree_load(t, b);
491 tree_dump(t, 0);
492 tree_done(t);
496 floating_t
497 uct_evaluate(struct engine *e, struct board *b, struct time_info *ti, coord_t c, enum stone color)
499 struct uct *u = e->data;
501 struct board b2;
502 board_copy(&b2, b);
503 struct move m = { c, color };
504 int res = board_play(&b2, &m);
505 if (res < 0)
506 return NAN;
507 color = stone_other(color);
509 if (u->t) reset_state(u);
510 uct_prepare_move(u, &b2, color);
511 assert(u->t);
513 floating_t bestval;
514 uct_search(u, &b2, ti, color, u->t);
515 struct tree_node *best = u->policy->choose(u->policy, u->t->root, &b2, color, resign);
516 if (!best) {
517 bestval = NAN; // the opponent has no reply!
518 } else {
519 bestval = tree_node_get_value(u->t, 1, best->u.value);
522 reset_state(u); // clean our junk
524 return isnan(bestval) ? NAN : 1.0f - bestval;
528 struct uct *
529 uct_state_init(char *arg, struct board *b)
531 struct uct *u = calloc2(1, sizeof(struct uct));
533 u->debug_level = debug_level;
534 u->gamelen = MC_GAMELEN;
535 u->resign_threshold = 0.2;
536 u->sure_win_threshold = 0.85;
537 u->mercymin = 0;
538 u->significant_threshold = 50;
539 u->expand_p = 2;
540 u->dumpthres = 1000;
541 u->playout_amaf = true;
542 u->playout_amaf_nakade = false;
543 u->amaf_prior = false;
544 u->max_tree_size = 1408ULL * 1048576;
545 u->fast_alloc = true;
546 u->pruning_threshold = 0;
548 u->threads = 1;
549 u->thread_model = TM_TREEVL;
550 u->virtual_loss = 1;
552 u->fuseki_end = 20; // max time at 361*20% = 72 moves (our 36th move, still 99 to play)
553 u->yose_start = 40; // (100-40-25)*361/100/2 = 63 moves still to play by us then
554 u->bestr_ratio = 0.02;
555 // 2.5 is clearly too much, but seems to compensate well for overly stern time allocations.
556 // TODO: Further tuning and experiments with better time allocation schemes.
557 u->best2_ratio = 2.5;
558 u->max_maintime_ratio = 8.0;
560 u->val_scale = 0.04; u->val_points = 40;
561 u->dynkomi_interval = 1000;
562 u->dynkomi_mask = S_BLACK | S_WHITE;
564 u->tenuki_d = 4;
565 u->local_tree_aging = 80;
566 u->local_tree_allseq = 1;
567 u->local_tree_rootseqval = 1;
568 u->local_tree_depth_decay = 1.5;
570 u->plugins = pluginset_init(b);
572 u->jdict = joseki_load(b->size);
574 if (arg) {
575 char *optspec, *next = arg;
576 while (*next) {
577 optspec = next;
578 next += strcspn(next, ",");
579 if (*next) { *next++ = 0; } else { *next = 0; }
581 char *optname = optspec;
582 char *optval = strchr(optspec, '=');
583 if (optval) *optval++ = 0;
585 /** Basic options */
587 if (!strcasecmp(optname, "debug")) {
588 if (optval)
589 u->debug_level = atoi(optval);
590 else
591 u->debug_level++;
592 } else if (!strcasecmp(optname, "reporting") && optval) {
593 /* The format of output for detailed progress
594 * information (such as current best move and
595 * its value, etc.). */
596 if (!strcasecmp(optval, "text")) {
597 /* Plaintext traditional output. */
598 u->reporting = UR_TEXT;
599 } else {
600 fprintf(stderr, "UCT: Invalid reporting format %s\n", optval);
601 exit(1);
603 } else if (!strcasecmp(optname, "dumpthres") && optval) {
604 /* When dumping the UCT tree on output, include
605 * nodes with at least this many playouts.
606 * (This value is re-scaled "intelligently"
607 * in case of very large trees.) */
608 u->dumpthres = atoi(optval);
609 } else if (!strcasecmp(optname, "resign_threshold") && optval) {
610 /* Resign when this ratio of games is lost
611 * after GJ_MINGAMES sample is taken. */
612 u->resign_threshold = atof(optval);
613 } else if (!strcasecmp(optname, "sure_win_threshold") && optval) {
614 /* Stop reading when this ratio of games is won
615 * after PLAYOUT_EARLY_BREAK_MIN sample is
616 * taken. (Prevents stupid time losses,
617 * friendly to human opponents.) */
618 u->sure_win_threshold = atof(optval);
619 } else if (!strcasecmp(optname, "force_seed") && optval) {
620 /* Set RNG seed at the tree setup. */
621 u->force_seed = atoi(optval);
622 } else if (!strcasecmp(optname, "no_tbook")) {
623 /* Disable UCT opening tbook. */
624 u->no_tbook = true;
625 } else if (!strcasecmp(optname, "pass_all_alive")) {
626 /* Whether to consider passing only after all
627 * dead groups were removed from the board;
628 * this is like all genmoves are in fact
629 * kgs-genmove_cleanup. */
630 u->pass_all_alive = !optval || atoi(optval);
631 } else if (!strcasecmp(optname, "territory_scoring")) {
632 /* Use territory scoring (default is area scoring).
633 * An explicit kgs-rules command overrides this. */
634 u->territory_scoring = !optval || atoi(optval);
635 } else if (!strcasecmp(optname, "banner") && optval) {
636 /* Additional banner string. This must come as the
637 * last engine parameter. */
638 if (*next) *--next = ',';
639 u->banner = strdup(optval);
640 break;
641 } else if (!strcasecmp(optname, "plugin") && optval) {
642 /* Load an external plugin; filename goes before the colon,
643 * extra arguments after the colon. */
644 char *pluginarg = strchr(optval, ':');
645 if (pluginarg)
646 *pluginarg++ = 0;
647 plugin_load(u->plugins, optval, pluginarg);
649 /** UCT behavior and policies */
651 } else if ((!strcasecmp(optname, "policy")
652 /* Node selection policy. ucb1amaf is the
653 * default policy implementing RAVE, while
654 * ucb1 is the simple exploration/exploitation
655 * policy. Policies can take further extra
656 * options. */
657 || !strcasecmp(optname, "random_policy")) && optval) {
658 /* A policy to be used randomly with small
659 * chance instead of the default policy. */
660 char *policyarg = strchr(optval, ':');
661 struct uct_policy **p = !strcasecmp(optname, "policy") ? &u->policy : &u->random_policy;
662 if (policyarg)
663 *policyarg++ = 0;
664 if (!strcasecmp(optval, "ucb1")) {
665 *p = policy_ucb1_init(u, policyarg);
666 } else if (!strcasecmp(optval, "ucb1amaf")) {
667 *p = policy_ucb1amaf_init(u, policyarg);
668 } else {
669 fprintf(stderr, "UCT: Invalid tree policy %s\n", optval);
670 exit(1);
672 } else if (!strcasecmp(optname, "playout") && optval) {
673 /* Random simulation (playout) policy.
674 * moggy is the default policy with large
675 * amount of domain-specific knowledge and
676 * heuristics. light is a simple uniformly
677 * random move selection policy. */
678 char *playoutarg = strchr(optval, ':');
679 if (playoutarg)
680 *playoutarg++ = 0;
681 if (!strcasecmp(optval, "moggy")) {
682 u->playout = playout_moggy_init(playoutarg, b, u->jdict);
683 } else if (!strcasecmp(optval, "light")) {
684 u->playout = playout_light_init(playoutarg, b);
685 } else {
686 fprintf(stderr, "UCT: Invalid playout policy %s\n", optval);
687 exit(1);
689 } else if (!strcasecmp(optname, "prior") && optval) {
690 /* Node priors policy. When expanding a node,
691 * it will seed node values heuristically
692 * (most importantly, based on playout policy
693 * opinion, but also with regard to other
694 * things). See uct/prior.c for details.
695 * Use prior=eqex=0 to disable priors. */
696 u->prior = uct_prior_init(optval, b);
697 } else if (!strcasecmp(optname, "mercy") && optval) {
698 /* Minimal difference of black/white captures
699 * to stop playout - "Mercy Rule". Speeds up
700 * hopeless playouts at the expense of some
701 * accuracy. */
702 u->mercymin = atoi(optval);
703 } else if (!strcasecmp(optname, "gamelen") && optval) {
704 /* Maximum length of single simulation
705 * in moves. */
706 u->gamelen = atoi(optval);
707 } else if (!strcasecmp(optname, "expand_p") && optval) {
708 /* Expand UCT nodes after it has been
709 * visited this many times. */
710 u->expand_p = atoi(optval);
711 } else if (!strcasecmp(optname, "random_policy_chance") && optval) {
712 /* If specified (N), with probability 1/N, random_policy policy
713 * descend is used instead of main policy descend; useful
714 * if specified policy (e.g. UCB1AMAF) can make unduly biased
715 * choices sometimes, you can fall back to e.g.
716 * random_policy=UCB1. */
717 u->random_policy_chance = atoi(optval);
719 /** General AMAF behavior */
720 /* (Only relevant if the policy supports AMAF.
721 * More variables can be tuned as policy
722 * parameters.) */
724 } else if (!strcasecmp(optname, "playout_amaf")) {
725 /* Whether to include random playout moves in
726 * AMAF as well. (Otherwise, only tree moves
727 * are included in AMAF. Of course makes sense
728 * only in connection with an AMAF policy.) */
729 /* with-without: 55.5% (+-4.1) */
730 if (optval && *optval == '0')
731 u->playout_amaf = false;
732 else
733 u->playout_amaf = true;
734 } else if (!strcasecmp(optname, "playout_amaf_nakade")) {
735 /* Whether to include nakade moves from playouts
736 * in the AMAF statistics; this tends to nullify
737 * the playout_amaf effect by adding too much
738 * noise. */
739 if (optval && *optval == '0')
740 u->playout_amaf_nakade = false;
741 else
742 u->playout_amaf_nakade = true;
743 } else if (!strcasecmp(optname, "playout_amaf_cutoff") && optval) {
744 /* Keep only first N% of playout stage AMAF
745 * information. */
746 u->playout_amaf_cutoff = atoi(optval);
747 } else if (!strcasecmp(optname, "amaf_prior") && optval) {
748 /* In node policy, consider prior values
749 * part of the real result term or part
750 * of the AMAF term? */
751 u->amaf_prior = atoi(optval);
753 /** Performance and memory management */
755 } else if (!strcasecmp(optname, "threads") && optval) {
756 /* By default, Pachi will run with only single
757 * tree search thread! */
758 u->threads = atoi(optval);
759 } else if (!strcasecmp(optname, "thread_model") && optval) {
760 if (!strcasecmp(optval, "tree")) {
761 /* Tree parallelization - all threads
762 * grind on the same tree. */
763 u->thread_model = TM_TREE;
764 u->virtual_loss = 0;
765 } else if (!strcasecmp(optval, "treevl")) {
766 /* Tree parallelization, but also
767 * with virtual losses - this discou-
768 * rages most threads choosing the
769 * same tree branches to read. */
770 u->thread_model = TM_TREEVL;
771 } else {
772 fprintf(stderr, "UCT: Invalid thread model %s\n", optval);
773 exit(1);
775 } else if (!strcasecmp(optname, "virtual_loss")) {
776 /* Number of virtual losses added before evaluating a node. */
777 u->virtual_loss = !optval || atoi(optval);
778 } else if (!strcasecmp(optname, "pondering")) {
779 /* Keep searching even during opponent's turn. */
780 u->pondering_opt = !optval || atoi(optval);
781 } else if (!strcasecmp(optname, "max_tree_size") && optval) {
782 /* Maximum amount of memory [MiB] consumed by the move tree.
783 * For fast_alloc it includes the temp tree used for pruning.
784 * Default is 3072 (3 GiB). */
785 u->max_tree_size = atol(optval) * 1048576;
786 } else if (!strcasecmp(optname, "fast_alloc")) {
787 u->fast_alloc = !optval || atoi(optval);
788 } else if (!strcasecmp(optname, "pruning_threshold") && optval) {
789 /* Force pruning at beginning of a move if the tree consumes
790 * more than this [MiB]. Default is 10% of max_tree_size.
791 * Increase to reduce pruning time overhead if memory is plentiful.
792 * This option is meaningful only for fast_alloc. */
793 u->pruning_threshold = atol(optval) * 1048576;
795 /** Time control */
797 } else if (!strcasecmp(optname, "best2_ratio") && optval) {
798 /* If set, prolong simulating while
799 * first_best/second_best playouts ratio
800 * is less than best2_ratio. */
801 u->best2_ratio = atof(optval);
802 } else if (!strcasecmp(optname, "bestr_ratio") && optval) {
803 /* If set, prolong simulating while
804 * best,best_best_child values delta
805 * is more than bestr_ratio. */
806 u->bestr_ratio = atof(optval);
807 } else if (!strcasecmp(optname, "max_maintime_ratio") && optval) {
808 /* If set and while not in byoyomi, prolong simulating no more than
809 * max_maintime_ratio times the normal desired thinking time. */
810 u->max_maintime_ratio = atof(optval);
811 } else if (!strcasecmp(optname, "fuseki_end") && optval) {
812 /* At the very beginning it's not worth thinking
813 * too long because the playout evaluations are
814 * very noisy. So gradually increase the thinking
815 * time up to maximum when fuseki_end percent
816 * of the board has been played.
817 * This only applies if we are not in byoyomi. */
818 u->fuseki_end = atoi(optval);
819 } else if (!strcasecmp(optname, "yose_start") && optval) {
820 /* When yose_start percent of the board has been
821 * played, or if we are in byoyomi, stop spending
822 * more time and spread the remaining time
823 * uniformly.
824 * Between fuseki_end and yose_start, we spend
825 * a constant proportion of the remaining time
826 * on each move. (yose_start should actually
827 * be much earlier than when real yose start,
828 * but "yose" is a good short name to convey
829 * the idea.) */
830 u->yose_start = atoi(optval);
832 /** Dynamic komi */
834 } else if (!strcasecmp(optname, "dynkomi") && optval) {
835 /* Dynamic komi approach; there are multiple
836 * ways to adjust komi dynamically throughout
837 * play. We currently support two: */
838 char *dynkomiarg = strchr(optval, ':');
839 if (dynkomiarg)
840 *dynkomiarg++ = 0;
841 if (!strcasecmp(optval, "none")) {
842 u->dynkomi = uct_dynkomi_init_none(u, dynkomiarg, b);
843 } else if (!strcasecmp(optval, "linear")) {
844 /* You should set dynkomi_mask=1
845 * since this doesn't work well
846 * for white handicaps! */
847 u->dynkomi = uct_dynkomi_init_linear(u, dynkomiarg, b);
848 } else if (!strcasecmp(optval, "adaptive")) {
849 /* There are many more knobs to
850 * crank - see uct/dynkomi.c. */
851 u->dynkomi = uct_dynkomi_init_adaptive(u, dynkomiarg, b);
852 } else {
853 fprintf(stderr, "UCT: Invalid dynkomi mode %s\n", optval);
854 exit(1);
856 } else if (!strcasecmp(optname, "dynkomi_mask") && optval) {
857 /* Bitmask of colors the player must be
858 * for dynkomi be applied; you may want
859 * to use dynkomi_mask=3 to allow dynkomi
860 * even in games where Pachi is white. */
861 u->dynkomi_mask = atoi(optval);
862 } else if (!strcasecmp(optname, "dynkomi_interval") && optval) {
863 /* If non-zero, re-adjust dynamic komi
864 * throughout a single genmove reading,
865 * roughly every N simulations. */
866 /* XXX: Does not work with tree
867 * parallelization. */
868 u->dynkomi_interval = atoi(optval);
870 /** Node value result scaling */
872 } else if (!strcasecmp(optname, "val_scale") && optval) {
873 /* How much of the game result value should be
874 * influenced by win size. Zero means it isn't. */
875 u->val_scale = atof(optval);
876 } else if (!strcasecmp(optname, "val_points") && optval) {
877 /* Maximum size of win to be scaled into game
878 * result value. Zero means boardsize^2. */
879 u->val_points = atoi(optval) * 2; // result values are doubled
880 } else if (!strcasecmp(optname, "val_extra")) {
881 /* If false, the score coefficient will be simply
882 * added to the value, instead of scaling the result
883 * coefficient because of it. */
884 u->val_extra = !optval || atoi(optval);
886 /** Local trees */
887 /* (Purely experimental. Does not work - yet!) */
889 } else if (!strcasecmp(optname, "local_tree") && optval) {
890 /* Whether to bias exploration by local tree values
891 * (must be supported by the used policy).
892 * 0: Don't.
893 * 1: Do, value = result.
894 * Try to temper the result:
895 * 2: Do, value = 0.5+(result-expected)/2.
896 * 3: Do, value = 0.5+bzz((result-expected)^2).
897 * 4: Do, value = 0.5+sqrt(result-expected)/2. */
898 u->local_tree = atoi(optval);
899 } else if (!strcasecmp(optname, "tenuki_d") && optval) {
900 /* Tenuki distance at which to break the local tree. */
901 u->tenuki_d = atoi(optval);
902 if (u->tenuki_d > TREE_NODE_D_MAX + 1) {
903 fprintf(stderr, "uct: tenuki_d must not be larger than TREE_NODE_D_MAX+1 %d\n", TREE_NODE_D_MAX + 1);
904 exit(1);
906 } else if (!strcasecmp(optname, "local_tree_aging") && optval) {
907 /* How much to reduce local tree values between moves. */
908 u->local_tree_aging = atof(optval);
909 } else if (!strcasecmp(optname, "local_tree_depth_decay") && optval) {
910 /* With value x>0, during the descent the node
911 * contributes 1/x^depth playouts in
912 * the local tree. I.e., with x>1, nodes more
913 * distant from local situation contribute more
914 * than nodes near the root. */
915 u->local_tree_depth_decay = atof(optval);
916 } else if (!strcasecmp(optname, "local_tree_allseq")) {
917 /* If disabled, only complete sequences are stored
918 * in the local tree. If this is on, also
919 * subsequences starting at each move are stored. */
920 u->local_tree_allseq = !optval || atoi(optval);
921 } else if (!strcasecmp(optname, "local_tree_rootseqval")) {
922 /* If disabled, expected node value is computed by
923 * summing up values through the whole descent.
924 * If enabled, expected node value for
925 * each sequence is the value at the root of the
926 * sequence. */
927 u->local_tree_rootseqval = !optval || atoi(optval);
929 /** Other heuristics */
930 } else if (!strcasecmp(optname, "significant_threshold") && optval) {
931 /* Some heuristics (XXX: none in mainline) rely
932 * on the knowledge of the last "significant"
933 * node in the descent. Such a node is
934 * considered reasonably trustworthy to carry
935 * some meaningful information in the values
936 * of the node and its children. */
937 u->significant_threshold = atoi(optval);
939 /** Distributed engine slaves setup */
941 } else if (!strcasecmp(optname, "slave")) {
942 /* Act as slave for the distributed engine. */
943 u->slave = !optval || atoi(optval);
944 } else if (!strcasecmp(optname, "shared_nodes") && optval) {
945 /* Share at most shared_nodes between master and slave at each genmoves.
946 * Must use the same value in master and slaves. */
947 u->shared_nodes = atoi(optval);
948 } else if (!strcasecmp(optname, "shared_levels") && optval) {
949 /* Share only nodes of level <= shared_levels. */
950 u->shared_levels = atoi(optval);
951 } else if (!strcasecmp(optname, "stats_hbits") && optval) {
952 /* Set hash table size to 2^stats_hbits for the shared stats. */
953 u->stats_hbits = atoi(optval);
955 } else {
956 fprintf(stderr, "uct: Invalid engine argument %s or missing value\n", optname);
957 exit(1);
962 if (!u->policy)
963 u->policy = policy_ucb1amaf_init(u, NULL);
965 if (!!u->random_policy_chance ^ !!u->random_policy) {
966 fprintf(stderr, "uct: Only one of random_policy and random_policy_chance is set\n");
967 exit(1);
970 if (!u->local_tree) {
971 /* No ltree aging. */
972 u->local_tree_aging = 1.0f;
975 if (u->fast_alloc) {
976 if (u->pruning_threshold < u->max_tree_size / 10)
977 u->pruning_threshold = u->max_tree_size / 10;
978 if (u->pruning_threshold > u->max_tree_size / 2)
979 u->pruning_threshold = u->max_tree_size / 2;
981 /* Limit pruning temp space to 20% of memory. Beyond this we discard
982 * the nodes and recompute them at the next move if necessary. */
983 u->max_pruned_size = u->max_tree_size / 5;
984 u->max_tree_size -= u->max_pruned_size;
985 } else {
986 /* Reserve 5% memory in case the background free() are slower
987 * than the concurrent allocations. */
988 u->max_tree_size -= u->max_tree_size / 20;
991 if (!u->prior)
992 u->prior = uct_prior_init(NULL, b);
994 if (!u->playout)
995 u->playout = playout_moggy_init(NULL, b, u->jdict);
996 if (!u->playout->debug_level)
997 u->playout->debug_level = u->debug_level;
999 u->ownermap.map = malloc2(board_size2(b) * sizeof(u->ownermap.map[0]));
1001 if (u->slave) {
1002 if (!u->stats_hbits) u->stats_hbits = DEFAULT_STATS_HBITS;
1003 if (!u->shared_nodes) u->shared_nodes = DEFAULT_SHARED_NODES;
1004 assert(u->shared_levels * board_bits2(b) <= 8 * (int)sizeof(path_t));
1007 if (!u->dynkomi)
1008 u->dynkomi = uct_dynkomi_init_adaptive(u, NULL, b);
1010 /* Some things remain uninitialized for now - the opening tbook
1011 * is not loaded and the tree not set up. */
1012 /* This will be initialized in setup_state() at the first move
1013 * received/requested. This is because right now we are not aware
1014 * about any komi or handicap setup and such. */
1016 return u;
1019 struct engine *
1020 engine_uct_init(char *arg, struct board *b)
1022 struct uct *u = uct_state_init(arg, b);
1023 struct engine *e = calloc2(1, sizeof(struct engine));
1024 e->name = "UCT Engine";
1025 e->printhook = uct_printhook_ownermap;
1026 e->notify_play = uct_notify_play;
1027 e->chat = uct_chat;
1028 e->undo = uct_undo;
1029 e->result = uct_result;
1030 e->genmove = uct_genmove;
1031 e->genmoves = uct_genmoves;
1032 e->dead_group_list = uct_dead_group_list;
1033 e->done = uct_done;
1034 e->data = u;
1035 if (u->slave)
1036 e->notify = uct_notify;
1038 const char banner[] = "I'm playing UCT. When I'm losing, I will resign, "
1039 "if I think I win, I play until you pass. "
1040 "Anyone can send me 'winrate' in private chat to get my assessment of the position.";
1041 if (!u->banner) u->banner = "";
1042 e->comment = malloc2(sizeof(banner) + strlen(u->banner) + 1);
1043 sprintf(e->comment, "%s %s", banner, u->banner);
1045 return e;