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sjtu-marl / malib

A parallel framework for population-based multi-agent reinforcement learning.
https://malib.io
MIT License
499 stars 60 forks source link

Quick Start Error #13

Closed Ppaddington closed 3 years ago

Ppaddington commented 3 years ago

Traceback (most recent call last): File "demo.py", line 3, in from malib.envs.poker import poker_aec_env as leduc_holdem File "/root/malib/malib/envs/init.py", line 4, in from .poker import PokerEnv File "/root/malib/malib/envs/poker/init.py", line 1, in from .poker_aec_env import env as PokerEnv File "/root/malib/malib/envs/poker/poker_aec_env.py", line 11, in from open_spiel.python.rl_environment import Environment as OPEN_SPIEL_ENV, TimeStep ModuleNotFoundError: No module named 'open_spiel'

demo.py: """PSRO with PPO for Leduc Holdem"""

from malib.envs.poker import poker_aec_env as leduc_holdem from malib.runner import run from malib.rollout import rollout_func

env = leduc_holdem.env(fixed_player=True)

run( agent_mapping_func=lambda agent_id: agent_id, env_description={ "creator": leduc_holdem.env, "config": {"scenario_configs": {"fixed_player": True}, "env_id": "leduc_holdem"} "possible_agents": env.possible_agents, }, training={ "interface": { "type": "independent", "observation_spaces": env.observation_spaces, "action_spaces": env.action_spaces }, }, algorithms={ "PSRO_PPO": { "name": "PPO", "custom_config": { "gamma": 1.0, "eps_min": 0, "eps_max": 1.0, "eps_decay": 100, }, } }, rollout={ "type": "async", "stopper": "simple_rollout", "callback": rollout_func.sequential } )

zbzhu99 commented 3 years ago

You have to install open_spiel as a package dependency.

https://github.com/deepmind/open_spiel/blob/master/docs/install.md