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on-policy

This is the official implementation of Multi-Agent PPO (MAPPO).

openmas

OpenMAS is an open source multi-agent simulator based in Matlab for the simulation of decentralized intelligent systems defined by arbitrary behaviours and dynamics.

pa-quadcopter

编程外星人-树莓派多旋翼无人机

planning_worlds_gazebo

Worlds to test planning algorithms in ROS/Gazebo

ppo-implementation-details

The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization

ppo-pytorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

ppoxfamily

PPO x Family DRL Tutorial Course

qplex

rl_code

RL-code for beginners. Enjoying!

rsl_rl

Fast and simple implementation of RL algorithms, designed to run fully on GPU.

skilldiffuser

[CVPR'2024] "SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution"

sqddpg

This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.

starcraft

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

starrypilot

A lightweight autopilot software for Pixhawk

summercourse2021

test

thuthesis

LaTeX Thesis Template for Tsinghua University

unitree_rl_gym

vectorizedmultiagentsimulator

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

visualservoing

Visual Servoing of UAVs

xai-in-rl