Comments (1)
Oh my.. you're correct. I haven't noticed the bug because the old td_target
actually worked.
Maybe it is due to small update_interval
which is 5.
If it was bigger, then the old td_target
might have ruined the performance.
I've modified the code for calculating td_target
as you suggested.
Regarding the second issue, I wanted to check the performance of the model during training.
I appreciate your thoughtful comment, thank you.
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Related Issues (20)
- 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
- cartpole ppo train , reward drop 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
- Wrong formula for calc-target in SAC?
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