wsg1873

ai-arena

The AI Arena: A framework for distributed multi-agent reinforcement learning

ardupilot

ArduPlane, ArduCopter, ArduRover source

CS294-HW1-Pytorch

damarl

Codes for Paper "Delay-Aware Multi-Agent Reinforcement Learning".

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 ....

DQLMRS

Code for "Decentralized Function Approximated Q-Learning in Multi-Robot Systems For Predator Avoidance""

LeMOL

Experimenting with meta-learning approaches to opponent modelling in MARL. Building upon previous public implementations of MADDPG and M3DDPG.

MCCG

route-plan

路径规划算法主要是Dijkstra，A*的算法。

wsg1873/MCCG

wsg1873/LeMOL

Experimenting with meta-learning approaches to opponent modelling in MARL. Building upon previous public implementations of MADDPG and M3DDPG.

wsg1873/ai-arena

The AI Arena: A framework for distributed multi-agent reinforcement learning

wsg1873/CS294-HW1-Pytorch

wsg1873/damarl

Codes for Paper "Delay-Aware Multi-Agent Reinforcement Learning".

wsg1873/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

wsg1873/Deep-reinforcement-learning-with-pytorch

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

wsg1873/DQLMRS

Code for "Decentralized Function Approximated Q-Learning in Multi-Robot Systems For Predator Avoidance""

wsg1873/Emergent-Multiagent-Strategies

Emergence of complex strategies through multiagent competition

wsg1873/geom-gcn

wsg1873/IC3Net

Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

wsg1873/liir

Learning Individual Intrinsic Reward in MARL

wsg1873/MaCA

wsg1873/maddpg

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

wsg1873/marl_transfer

Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)

wsg1873/MERL

wsg1873/Multi-Explore

Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"

wsg1873/multiagent-confrontation

This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".

wsg1873/neural-mmo

Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"

wsg1873/on-policy

This is the official implementation of Multi-Agent PPO.

wsg1873/pymarl2

Rethinking the Importance of Implementation Tricks in Multi-Agent Reinforcement Learning

wsg1873/PyTorch-Tutorial

Build your neural network easy and fast

wsg1873/RelationalGraphLearning

[IROS20] Relational graph learning for crowd navigation

wsg1873/RGAT-ABSA

wsg1873/RL-CBF

wsg1873/robust_cbf

wsg1873/rtrl

wsg1873/sequential_social_dilemma_games

Repo for reproduction of sequential social dilemmas

wsg1873/social_empowerment

wsg1873/StarCraft

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