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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Fail to train of GAIL in Ant-v2 environment #28

Open seolhokim opened 3 years ago

seolhokim commented 3 years ago

I trained your ppo first.

python examples/ppo_gym.py --env-name Ant-v2 --save-model-interval 100

After 500 episodes, I made trajectories.

python gail/save_expert_traj.py --model-path assets/learned_models/Ant-v2_ppo.p

Last, I ran gail.

python gail/gail_gym.py --env-name Ant-v2 --expert-traj-path assets/expert_traj/Ant-v2_expert_traj.p

I implemented Gail and Vail, but I failed to train it too.(but hopper worked well)

Any Ideas?

dibbla commented 2 years ago

Hi! Have you work it out? It seems to be the problem of zfilter.

seolhokim commented 2 years ago

No. I guess you doubt the training has failed because of standardization by zfilter, right? I checked but it was not the key to solving problem in my implementation.

lviano commented 2 years ago

Any solution to this ? I am running in the same problem. The code works well for all the other MuJoCo I have tried but not for HalfCheetah