ai-code-battle/engine
jedarden 206189f914 feat(engine): integrate Monte Carlo win probability computation into match runner
Collect GameState snapshots during match execution (one per turn), then
run 100 random-play rollouts per snapshot post-match to compute per-turn
win probabilities and detect critical moments (|delta| > 0.15). Results
are stored in the replay JSON as win_prob and critical_moments fields.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-21 08:46:39 -04:00
..
auth.go Complete Phase 2: HTTP protocol and 6 strategy bots 2026-03-24 07:00:38 -04:00
auth_test.go Complete Phase 2: HTTP protocol and 6 strategy bots 2026-03-24 07:00:38 -04:00
bot_http.go Add Phase 7-9 features: evolution dashboard, WASM sandbox, enhanced replay 2026-03-29 01:13:23 -04:00
bot_http_test.go Complete Phase 2: HTTP protocol and 6 strategy bots 2026-03-24 07:00:38 -04:00
bot_local.go Implement Phase 1 core engine: grid, combat, fog of war, turn execution 2026-03-24 01:48:27 -04:00
bot_strategies.go feat(evolver): complete Phase 7 LLM-driven evolution implementation 2026-04-08 16:38:48 -04:00
determinism_test.go Complete Phase 1: add connectivity validation and determinism tests 2026-03-24 03:44:44 -04:00
game.go feat(evolver): complete Phase 7 LLM-driven evolution implementation 2026-04-08 16:38:48 -04:00
grid.go Implement Phase 1 core engine: grid, combat, fog of war, turn execution 2026-03-24 01:48:27 -04:00
grid_test.go Implement Phase 1 core engine: grid, combat, fog of war, turn execution 2026-03-24 01:48:27 -04:00
integration_test.go Complete Phase 2: HTTP protocol and 6 strategy bots 2026-03-24 07:00:38 -04:00
match.go feat(engine): integrate Monte Carlo win probability computation into match runner 2026-04-21 08:46:39 -04:00
replay.go feat(engine): integrate Monte Carlo win probability computation into match runner 2026-04-21 08:46:39 -04:00
turn.go feat(evolver): complete Phase 7 LLM-driven evolution implementation 2026-04-08 16:38:48 -04:00
turn_test.go Fix sin/cos math bug and add cellular automata map generation 2026-03-26 01:10:46 -04:00
types.go feat(evolver): complete Phase 7 LLM-driven evolution implementation 2026-04-08 16:38:48 -04:00
winprob.go feat(engine): integrate Monte Carlo win probability computation into match runner 2026-04-21 08:46:39 -04:00