fish-env
A PettingZoo AEC environment for Fish, a six-player team card game of asking, deduction and calls, and the environment of the Fish benchmark.
- Six agents,
seat_0toseat_5, in two teams of three. - Each agent observes only what its seat may know (its own hand, the public state and the most recent event) as 648 bits, with a mask over 913 actions.
- Declaration windows after every event, decided by a seeded priority order between teams.
- Deterministic:
reset(seed=...)gives the same game every time, and every game can be saved as a record and replayed exactly. - Passes PettingZoo's own API and seed tests.
import numpy as np
from fish_env import env
game = env()
game.reset(seed=42)
rng = np.random.default_rng(0)
for agent in game.agent_iter():
observation, reward, terminated, truncated, info = game.last()
if terminated or truncated:
action = None
else:
action = int(rng.choice(np.flatnonzero(observation["action_mask"])))
game.step(action)
Install with pip install fish-env (Python 3.14 or later). The rules engine is
fish-rules; baseline agents are in
fish-agents. The environment guide is in the
repository.
Licensed under Apache-2.0.
Metadata
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