Question about the old policy and new policy in TRPO code

• pytorch-trpo

  2 409 10.0 Python

  PyTorch implementation of Trust Region Policy Optimization

The code is a TRPO code. In this code, when "get_kl" , I can't understand the differences between the "mean0, log_std0, std0" and "mean1, log_std1, std1", aren't they equal in the code? And both the difference between the log_probs of old policy and new policy in the part of "get_loss" , aren't they equal in the code? Thanks for the help！

• stable-baselines3

  46 7,894 8.2 Python

  PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

  

Good point...I'll check in more detail when I get a chance later today! I would suggest looking at a more recent implementation like https://github.com/DLR-RM/stable-baselines3 or https://github.com/thu-ml/tianshou if you're trying to build. https://spinningup.openai.com/en/latest/algorithms/trpo.html is particularly good for understanding

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• tianshou

  8 7,378 9.5 Python

  An elegant PyTorch deep reinforcement learning library.

  

Good point...I'll check in more detail when I get a chance later today! I would suggest looking at a more recent implementation like https://github.com/DLR-RM/stable-baselines3 or https://github.com/thu-ml/tianshou if you're trying to build. https://spinningup.openai.com/en/latest/algorithms/trpo.html is particularly good for understanding

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