coolguy/coorl-lost-cities
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Add SO-ISMCTS mini trainer

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Implements a proof-of-concept single-observer IS-MCTS trainer with AlphaZero-style policy/value network, determinization, replay, self-play, CLI configs, and focused tests. Mini acceptance run reaches positive random eval while keeping play_action_rate above the Deep CFR trap threshold.

Tests: uv run python -m pytest tests/games/classic/ismcts/ -x; uv run python -m pytest tests/games/classic/test_deep_cfr_trainer.py -x; uv run lost-cities-ismcts train --config configs/ismcts/mini.yaml
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coolguy
2026-05-10 22:46:22 +09:00
parent 5acda3f272
commit e69f3165b6
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pyproject.toml
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@@ -29,6 +29,7 @@ lost-cities-classic = "coolrl_lost_cities.games.classic:main"
lost-cities-eval = "coolrl_lost_cities.games.classic.evaluation:main"
lost-cities-classic-gui = "coolrl_lost_cities.games.classic.pygame_pvp:main"
lost-cities-deep-cfr = "coolrl_lost_cities.games.classic.deep_cfr.cli:main"
lost-cities-ismcts = "coolrl_lost_cities.games.classic.ismcts.cli:main"
[dependency-groups]
dev = [