Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.
