PyTorch implementation of TRPO
Try my implementation of PPO (aka newer better variant of TRPO), unless you need to you TRPO for some specific reasons.
This is a PyTorch implementation of "Trust Region Policy Optimization (TRPO)".
This is code mostly ported from original implementation by John Schulman. In contrast to another implementation of TRPO in PyTorch, this implementation uses exact Hessian-vector product instead of finite differences approximation.
Contributions are very welcome. If you know how to make this code better, don't hesitate to send a pull request.
python main.py --env-name "Reacher-v1"
Recommended hyper parameters
Reacher-v1, InvertedDoublePendulum-v1: 15000
HalfCheetah-v1, Hopper-v1, Swimmer-v1, Walker2d-v1: 25000
Ant-v1, Humanoid-v1: 50000
More or less similar to the original code. Coming soon.
- Collect data in multiple threads.