Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
-
Updated
Aug 8, 2021 - Python
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
PyTorch implementation of Constrained Policy Optimization
Minimal implementations of RL algorithms using PyTorch
Add a description, image, and links to the pytorch-reinforcement-learning topic page so that developers can more easily learn about it.
To associate your repository with the pytorch-reinforcement-learning topic, visit your repo's landing page and select "manage topics."