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adeptrl

Reinforcement learning framework to accelerate research

agent

超智能体，学习观

arxiv.py

Python wrapper for the arXiv API

closeaircombat

An environment based on JSBSIM aimed at one-to-one close air combat.

covid-19-seir-lstm

本项目实现2019新型冠状病毒肺炎预测，分别采用经典传染病动力学模型SEIR和LSTM神经网络实现，通过控制模型参数来改变干预程度，体现防控的意义。

dcg

decision

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep-reinforcement-learning-with-pytorch

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

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

deeprl-1

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

elegantrl

Lightweight, stable, efficient PyTorch implement of reinforcement learning. I want to call this PyTorch implement as "3-Python-file-RL".

epymarl

An extension of the PyMARL codebase that includes additional algorithms and environment support

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

hands-on-reinforcement-learning-with-python

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

invalid-action-masking

Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

ml-agents

Unity Machine Learning Agents Toolkit

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

pwc

Papers with code. Sorted by stars. Updated weekly.

pymarl

Python Multi-Agent Reinforcement Learning framework

random-network-distillation

Code for the paper "Exploration by Random Network Distillation"

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

reinforcemenglearningpractice

Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments

reinforcement-implementation

Implementation of benchmark RL algorithms

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction