THSWind

SA_DQN

State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning (NeurIPS 2020, Spotlight)

atari

AI research environment for the Atari 2600 games 🤖.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

BeamerStyleSlides

🌈Beamer风格的幻灯片模板集。包含了PowerPoint和Keynote两套格式。

bootstrapped-DQN

Bootstrapped DQN implemented in Python with TensorFlow

Deep-Reinforcement-Learning-with-Double-Q-learning

📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️

DeepFaceLive

Real-time face swap for PC streaming or video calls

DeepRL

Modularized Implementation of Deep RL Algorithms in PyTorch

DeepRL-TensorFlow2

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

DeepRL_PyTorch

Deep Reinforcement learning codes for study. Currently there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

dqn_pytorch

DQN with pytorch with on Breakout and SpaceInvaders

fqf-iqn-qrdqn.pytorch

A PyTorch implementation of FQF, IQN and QR-DQN.

IGN-Implicit-Generative-Networks

IGN : Implicit Generative Networks （ICMLA 2022）

IQN-and-Extensions

PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer and N-step bootstrapping.

LeetCode-Go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

LeetcodeTop

汇总各大互联网公司容易考察的高频leetcode题🔥

new-pac

科学上网专用

PolicyAugmentation

Exploration Strategy for Deep Reinforcement Learning

ptan

PyTorch Agent Net: reinforcement learning toolkit for pytorch

PyTorch-A2C

General implementation of Advantage Actor Critic using Pytorch

pytorch-a3c

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

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-1

Minimal and Clean Reinforcement Learning Examples

reinforcement-learning-algorithms

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)

RL-on-Atari-Game

implement a DQN agent to play atari game breakout

RLCodebase

RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms

tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

thswind.github.io

Tic-Tac-Toe

A Q-learning implementation, to train an agent about tic-tac-toe game(wrote in tkinter)