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Khrylx / PyTorch-RL

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
MIT License
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Failed on " HopperEnv' object has no attribute 'seed' " #37

Open HughesField opened 5 months ago

HughesField commented 5 months ago

Traceback (most recent call last): File "/home/zjt/exp/PyTorch-RL/examples/ppo_gym.py", line 70, in env.seed(args.seed) File "/home/zjt/anaconda3/envs/mujoco/lib/python3.9/site-packages/gym/core.py", line 241, in getattr return getattr(self.env, name) File "/home/zjt/anaconda3/envs/mujoco/lib/python3.9/site-packages/gym/core.py", line 241, in getattr return getattr(self.env, name) File "/home/zjt/anaconda3/envs/mujoco/lib/python3.9/site-packages/gym/core.py", line 241, in getattr return getattr(self.env, name) AttributeError: 'HopperEnv' object has no attribute 'seed'

When "python examples/ppo_gym.py --env-name Hopper-v2", the program encountered an error with env.seed(args.seed), and even after commenting out this line, it ran into another error related to 'seed': AttributeError: 'numpy.random._generator.Generator' object has no attribute 'seed'.