Reinforcement Learning Samples
Easy, flexible, and modular RL components
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).
Implementations of Reinforcement Learning and Planning algorithms
Pytorch Implementation of Proximal Policy Optimization Algorithm
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compa...
Examples of published reinforcement learning algorithms in recent literature implemented in Tenso...
强化学习-中文笔记&资源-以python实例为主-由浅入深
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementat...
PyTorch based Reinforcement Learning for OpenSim Prosthetics and Learning to Run environments
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcem...
PFRL: a PyTorch-based deep reinforcement learning library
Softlearning is a reinforcement learning framework for training maximum entropy policies in conti...
A comparison of parameter space noise methods for exploration in deep reinforcement learning
