NeuralABR-Pensieve-PPO-MAML

强化学习中文教程（蘑菇书?），在线阅读地址：https://datawhalechina.github.io/easy-rl/

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

A PyTorch Library for Meta-learning Research

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code