Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

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).

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

Minimal and Clean Reinforcement Learning Examples

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

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

[파이썬과 케라스로 배우는 강화학습] 예제

ChainerRL is a deep reinforcement learning library built on top of Chainer.

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

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..

Deep Reinforcement Learning For Sequence to Sequence Models

Deep Reinforcement Learning with pytorch & visdom

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

Simple A3C implementation with pytorch + multiprocessing

Implementations of Reinforcement Learning Models in Tensorflow

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

A3C LSTM Atari with Pytorch plus A3G design

Implementation of the DDPG algorithm for Optimal Finance Trading