Comments (2)
Hello,
no particular reason, we probably forgot to update the type hint, I would appreciate a PR =)
o I need to train every episode instead of every step.
You might be interested in:
- async train (I did it with TQC in the past): DLR-RM/stable-baselines3#715 (comment)
- SBX (my go to now), up to 20x faster than the pytorch version with the right parameters: https://github.com/araffin/sbx
EDIT: QR-DQN need to be updated too
from stable-baselines3-contrib.
thanks, I will check out SBX :)
I just submitted a PR to update the typing
from stable-baselines3-contrib.
Related Issues (20)
- [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
- [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
- [Question] What is the difference between old_distribution and distribution in train function of TRPO HOT 2
- [Question] Recurrent Maskable PPO ?!? Rudder ?!? HOT 1
- Dependent Actions in MultiDiscrete Action Space HOT 1
- ep_len_mean discrepancy
- TQC: ep_len_mean and ep_rew_mean does not match real values
- RecurrentActorCriticPolicy Behaviour Not Clear HOT 1
- MaskablePPO Masking Doesn't Work with Big Action Space HOT 1
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from stable-baselines3-contrib.