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A continuous deep reinforcement learning framework for robotics
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Codebase for Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads paper. Website: https://sites.google.com/view/meta-rl-for-flight.
Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
Supplementary materials for "Learning Locomotion over Challenging Terrain"
A Simplified Pytorch Version of the Dreamer Algorithm