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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

carla_ray_rlib

Carla-Simulator environment compatible with Ray/Rllib

collaq

A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"

cpu-simulator

A simulator for instructions run in the cpu

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-with-pytorch

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

deeplearning-models

各种深度学习结构、模型和技巧的集合

gameplane

A small game for Android mobile phone

gittest

Just have a try

gym-carla

An OpenAI gym wrapper for CARLA simulator

hungry-goose-try

maca

md-maddpg

multiagent-particle-envs

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

pettingzoo

Gym for multi-agent reinforcement learning

pgddpg

This article is the additional experimental details of paper 'Independent Deep Deterministic Policy Gradient Reinforcement Learning in Cooperative Multiagent Pursuit Games'. In this article, we mainly tests and compares the hyperparameter of the algorithm, and the performance of the algorithms in the case of different preys. The results show that PGDDPG, we proposed, is insensitive to hyperparameter and has stronger robustness which Has a good performance against different levels of prey.

pgddpg-conference

pytorch-maddpg

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

rfq-rfac

Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning

rls

Reinforcement Learning Algorithms：SAC, TD3, TAC

rosflight_ws

A full rosplane/rosflight workspace for class demos and getting started

rosplane

A basic fixed-wing autopilot for ROS - based on the textbook "Small Unmanned Aircraft: Theory and Practice" by Randy Beard and Tim McLain

smartcar

Historical data of 2014 and 2015 smart car competition

sota-rl-algorithms

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

tensorlayer

Deep Learning and Reinforcement Learning Library for Scientists 🔥

zhoushiyang12.github.io

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