coolguy
12d10fd9c8
이전 레포 commit 33e0368 (full_depth 실험)에서 past-self 풀만 (anchor 없음, current 0.5 + recent 0.3 + older 0.2)으로 322 iter 돌린 결과 selectivity emerge 실패한 이력을 doc에 추가. opened_colors 4.94-4.96 유지, 5-color opening 91-93%로 감소 없음. self-play 가족 내부 다양성은 self-mirror 평형을 시간축으로 평행이동시킬 뿐 selectivity 못 풀음.
coolrl-lost-cities
Focused Lost Cities extraction from the legacy coolrl repository.
The current implementation starts with the classic two-player card game:
- classic 5-expedition rules by default
- Python/Cython game engine
- env wrapper
- random, discard-only, and safe-heuristic bots
- core rule, scoring, mask, env, canonical-state, bot, and GUI smoke tests
Training code, Deep CFR, learned-policy evaluation, GUI, and web client are intentionally outside the first port.
Development
uv run pytest tests/games/classic
uv run lost-cities-classic
For future GUI work, install the optional GUI dependencies:
uv sync --extra gui
Run the classic pygame GUI:
uv run lost-cities-classic-gui --mode pvc --bot safe-heuristic
The GUI uses the in-process Cython game engine.
Basic Usage
from coolrl_lost_cities.games.classic import GameState, build_bot, classic_config
state = GameState.new_game(classic_config(seed=1))
bot = build_bot("random", seed=1)
while not state.terminal:
state.apply_action(bot.act(state))
print(state.total_score(0), state.total_score(1))
See classic port notes for the current direction.