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agi-brain / xuance

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
https://xuance.readthedocs.io/
MIT License
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The qmix_rware error message in the running examples is as follows, there is a corresponding solution #38

Open Yu-zx opened 3 months ago

Yu-zx commented 3 months ago

Traceback (most recent call last): File "D:/code/DRL/xuance-master-1/examples/qmix/qmix_rware.py", line 311, in runner = Runner(args) File "D:/code/DRL/xuance-master-1/examples/qmix/qmix_rware.py", line 70, in init self.envs = make_envs(args) File "D:\code\DRL\xuance-master-1\xuance\environment__init.py", line 129, in make_envs return REGISTRY_VEC_ENV[config.vectorize]([thunk for in range(config.parallels)]) File "D:\code\DRL\xuance-master-1\xuance\environment\robotic_warehouse\robotic_warehouse_vec_env.py", line 6, in init super(DummyVecEnv_RoboticWarehouse, self).init(env_fns) File "D:\code\DRL\xuance-master-1\xuance\environment\new_env_mas\new_vec_env_mas.py", line 147, in init__ self.envs = [fn() for fn in env_fns] File "D:\code\DRL\xuance-master-1\xuance\environment\new_env_mas\new_vec_env_mas.py", line 147, in self.envs = [fn() for fn in env_fns] File "D:\code\DRL\xuance-master-1\xuance\environment__init.py", line 78, in _thunk env = RoboticWarehouseEnv(config, render_mode=config.render_mode) File "D:\code\DRL\xuance-master-1\xuance\environment\robotic_warehouse\robotic_warehouse_env.py", line 9, in init self.env = gym.make(ENV_IDs[args.env_id]) File "D:\anaconda3\envs\xuance_env\lib\site-packages\gym\envs\registration.py", line 640, in make env = env_creator(**_kwargs) File "D:\anaconda3\envs\xuance_env\lib\site-packages\rware\warehouse.py", line 247, in init self._use_slow_obs() File "D:\anaconda3\envs\xuance_env\lib\site-packages\rware\warehouse.py", line 359, in _use_slowobs for in range(self.n_agents) File "D:\anaconda3\envs\xuanceenv\lib\site-packages\rware\warehouse.py", line 359, in for in range(self.n_agents) File "D:\anaconda3\envs\xuance_env\lib\site-packages\gym\spaces\multi_binary.py", line 44, in init__ assert (np.asarray(input_n) > 0).all() # n (counts) have to be positive AssertionError

wenzhangliu commented 3 months ago

For multi-robot warehouse (RWARE) environment, the version of gym is suggeted to be 0.21 according its the offcial instruction (https://github.com/semitable/robotic-warehouse/blob/master/setup.py)..

Hence, when you run this environment with XuanCe, you should downgrade the version of gym by typing pip install gym==0.21 That will help you solve the problem.