Comments (3)
Please fill in the template next time.
No new algorithms are planned as of right now. Purpose of this repo is for community to propose new algorithms and implement them, without need to worry about the integration with original repository.
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Yes, you can clone (or fork) this repository and build upon the code. If you implement an algorithm and get the same results as in the publication the detailed the algorithm, we would be happy to include it in this repository :)
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Related Issues (20)
- [Feature Request] BBF algorithm implementation HOT 2
- Decrease in reward during training with MaskablePPO
- Maskable PPO selects illegal actions, altough everything looks correct HOT 2
- How to use LSTM ? RecurrentPPO from sb3-contrib HOT 6
- Worse training with Vectorized Environment
- Recurrent PPO Not Training Well on a Very Simple Environment
- Predicting actions after using MaskablePPO model outputs invalid action HOT 2
- [Question] Recurrent PPO evaluation HOT 2
- [Feature Request] Expand RNN Options and Algorithm Flexibility HOT 2
- [Bug]: producing NAN values during training in MaskablePPO HOT 5
- [Question] how to use "lstm_states" from rollout_buffer to reconstruct LSTM states during training HOT 2
- [Feature Request] STAC algorithm HOT 4
- Implementing "Sibling Rivalry" Method from "Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards" Paper HOT 1
- EvalCallback crashes Maskable PPO without error HOT 3
- Episodic training with TQC? HOT 2
- [Question] LSTM observations HOT 3
- [Question] Simple way to implement data augmentation when training agent HOT 2
- [Question] Why does MaskablePPO does not mask with some logic with last observation? HOT 4
- [Feature Request] Implement CrossQ
- [Question] RecurrentPPO: Reset LSTM states early? HOT 3
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