Comments (1)
As mentioned in the README, this repo only implements the clipped objective version of PPO, and not the adaptive KL penalty objective to which you are referring to
from ppo-pytorch.
Related Issues (20)
- How to improve the performance based on your code? HOT 1
- how can I use this code for a problem with 3 different actions? HOT 1
- About environment configuration HOT 2
- Convolutional? HOT 1
- roboschool is deprecated HOT 1
- error HOT 5
- Setting Model to eval() mode in test.py
- Would a shared network work ?
- Test results are not good
- Continuous action space should use Independent Normal instead of MultivariateNormal HOT 1
- optimize the existing Chinese generation model
- question
- ValueError: expected sequence of length 8 at dim 1 (got 0) HOT 1
- policy_old完全看不出作用 HOT 6
- the version problem about gym and roboschool HOT 2
- (Solved) No env.reset() at the end of each training epoch. HOT 2
- 为什么新的版本在k epochs更新时不重新计算advantages?
- If I run test.py, there are these problems, how to solve them?
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from ppo-pytorch.