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action-branching-agents

(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning

actionrobustrl

Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.09184

awesome-offline-rl

An index of algorithms for offline reinforcement learning (offline-rl)

carnd-vehicle-detection

Vehicle Detection Project

codes-for-rl-per

A novel DDPG method with prioritized experience replay (IEEE SMC 2017)

ddpg

Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow

ddpg-aigym

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-in-large-discrete-action-spaces

PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, Hado van Hasselt, Peter Sunehag, Timothy Lillicrap, Jonathan Hunt, Timothy Mann, Theophane Weber, Thomas Degris, Ben Coppin).

deep-reinforcement-learning-in-large-discrete-action-spaces-1

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

deep-reinforcement-learning-with-pytorch

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

deep_rl

PyTorch implementations of deep reinforcement learning algorithms

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

dqn-hfo

dqn_zoo

The implement of all kinds of dqn reinforcement learning with Pytorch

dqn_zoo-1

DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.

drl_algorithm_library

This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.

drlib

DRLib：A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos.

elegantrl

Lightweight and scalable deep reinforcement learning using PyTorch. 🔥

finrl

Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥

flann

Fast Library for Approximate Nearest Neighbors

gym

A toolkit for developing and comparing reinforcement learning algorithms.

human-level-control-through-deep-reinforcement-learning

A jax/stax implementation of: Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A.A., Veness, J., Bellemare, M.G., Graves, A., Riedmiller, M., Fidjeland, A.K., Ostrovski, G. and Petersen, S., 2015. Human-level control through deep reinforcement learning. nature, 518(7540), pp.529-533.

leedeeprl-notes

李宏毅《深度强化学习》笔记，在线阅读地址：https://datawhalechina.github.io/leedeeprl-notes/

pytorch-ddpg

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

rainbow-is-all-you-need

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

rainbow-reinforcement-learning-for-chess-games

An Implementation of Rainbow: Combining Improvements in Deep Reinforcement Learning on Chess Games

reinforcement-implementation

Implementation of benchmark RL algorithms

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcementlearning

Implementation of deep deterministic policy gradient with Wolpertinger