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1,020 B
1,020 B
Torchy Baselines
PyTorch version of Stable Baselines, a set of improved implementations of reinforcement learning algorithms.
Implemented Algorithms
- A2C
- CEM-RL (with TD3)
- PPO
- SAC
- TD3
Roadmap
TODO:
- save/load
- better predict
- complete logger
- SDE: learn the feature extractor?
- Refactor: buffer with numpy array instead of pytorch
- Refactor: remove duplicated code for evaluation
- plotting? -> zoo
Later:
- get_parameters / set_parameters
- CNN policies + normalization
- tensorboard support
- DQN
- TRPO
- ACER
- DDPG
- HER -> use stable-baselines because does not depends on tf?