dqn

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Build your neural network easy and fast, 莫烦Python中文教学

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Repo for the Deep Reinforcement Learning Nanodegree program

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

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Minimal and Clean Reinforcement Learning Examples

Modularized Implementation of Deep RL Algorithms in PyTorch

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

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

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

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

TensorFlow implementation of Deep Reinforcement Learning papers

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

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

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

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

Deep Reinforcement Learning with pytorch & visdom

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

Python library for Reinforcement Learning.

A PyTorch library for building deep reinforcement learning agents.

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

use AI to play some games.

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)