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quantumiracle / nash-dqn

Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games. Zihan Ding, Dijia Su, Qinghua Liu, Chi Jin
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OSError: rom boxing is not installed #3

Closed hwz9612 closed 1 year ago

hwz9612 commented 1 year ago

Hi, Now I encountered the new problem. Just as the following shows, Traceback (most recent call last): File "/home/heweizhen/exper_code/nash-dqn/launch.py", line 169, in <module> env = eval(args.env_name).parallel_env(obs_type=obs_type, full_action_space=False, auto_rom_install_path=None) File "/home/heweizhen/anaconda3/envs/exper_env/lib/python3.9/site-packages/pettingzoo/utils/conversions.py", line 12, in par_fn env = env_fn(**kwargs) File "/home/heweizhen/anaconda3/envs/exper_env/lib/python3.9/site-packages/pettingzoo/atari/base_atari_env.py", line 17, in env_fn env = raw_env_fn(**kwargs) File "/home/heweizhen/anaconda3/envs/exper_env/lib/python3.9/site-packages/pettingzoo/atari/boxing_v2.py", line 7, in raw_env return BaseAtariEnv( File "/home/heweizhen/anaconda3/envs/exper_env/lib/python3.9/site-packages/pettingzoo/atari/base_atari_env.py", line 26, in BaseAtariEnv return parallel_to_aec_wrapper(ParallelAtariEnv(**kwargs)) File "/home/heweizhen/anaconda3/envs/exper_env/lib/python3.9/site-packages/pettingzoo/atari/base_atari_env.py", line 95, in __init__ raise OSError( OSError: rom boxing is not installed. Please install roms using AutoROM tool (https://github.com/Farama-Foundation/AutoROM) or specify and double-check the path to your Atari rom using therom_pathargument. What can I do? Thanks.

quantumiracle commented 1 year ago

Hi,

Did you install using Poetry and still have the problem? There is this autorom package you need to install: https://github.com/Farama-Foundation/AutoROM