Comments (1)
@SeungyounShin
PPO is an on-policy algorithm. When you update agent using highly correlated trajectories can makes agent worse. I fixed that #45 for you.
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Related Issues (20)
- The ratio in ppo.py should be detach() ? HOT 5
- RuntimeError while running DDPG.py HOT 2
- PPO update mistake? HOT 1
- TD3: Twin Delayed DDPG HOT 2
- Soft Actor Critic? HOT 1
- Use pytorch-lightning for better readability and optimization
- Maybe a bug in SAC Implementation? HOT 1
- Remove unused import HOT 1
- A naive question about updating parameters in DDPG.
- Cartpole environment with Multidiscrete action space HOT 3
- Cartpole environment with Multidiscrete action space
- Add meta RL algorithms?
- Query about LSTM
- Add minimal IMPALA? HOT 2
- Minimal way to save / replay trained model?
- MuZero minimal implementation
- DQN why train iterate for 10 times
- TypeError: expected np.ndarray (got tuple) HOT 1
- Training speed is very slow!!! HOT 1
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