A toolkit for reproducible reinforcement learning research.
A toolkit for developing and comparing reinforcement learning algorithms.
Assignments for CS294-112.
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Implementation of algorithms for continuous control (DDPG and NAF).
Minimal and Clean Reinforcement Learning Examples
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
TensorFlow Reinforcement Learning