2.3 KiB
Classic Port Notes
This repository starts as a focused extraction of the Lost Cities game from the
legacy coolrl repository. The first target is the classic two-player card
game, without the earlier training-oriented tiers.
Current Direction
- Implement the classic Lost Cities rules first.
- Treat classic as the initial concrete game under
coolrl_lost_cities.games. - Do not carry over
tier0throughtier3; those were useful for experiments, but they should not shape the first public game API. - Use the in-process Python/Cython implementation for the current port.
- Keep the GUI in scope for local play, but do not carry a separate native backend.
- Keep RL and training code out of the first extraction.
The expected package shape is roughly:
src/coolrl_lost_cities/
games/
classic/
game.pyx
snapshots.py
evaluation.py
env.py
interfaces.py
bots/
pygame_pvp.py
fixtures/
assets/
docs/
Tests should live outside the package, roughly under:
tests/games/classic/
Out Of Scope For The First Port
- Deep CFR
- General training infrastructure
- Evaluation loops for learned policies
- Separate native backend support
- Web client
- Legacy experiment configs, checkpoints, logs, exports, and analysis artifacts
Bot-vs-bot helpers can stay with the classic game if they are useful for smoke tests and local play. Broader policy evaluation can be introduced later with the training layer.
Later Training Shape
If training is added later, it should not make Deep CFR the center of the package. Evaluation and policy interfaces should be general enough for multiple approaches, with Deep CFR as one implementation.
A possible future shape:
src/coolrl_lost_cities/
games/
classic/
training/
policies.py
evaluation.py
deep_cfr/
imitation/
policy_gradient/
The game package should expose rules, state transitions, legal actions, scoring, and playable UI. Training code can adapt those pieces later.
Naming Notes
For now, use classic for the five-expedition game. Other variants, such as a
six-expedition version, can be added later if needed. The current port should
avoid adding a variant registry or broad abstraction before there is a second
concrete game to support.