maddpg

Lizhi-sjtu/MARL-code-pytorch

Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.

philtabor/Multi-Agent-Deep-Deterministic-Policy-Gradients

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

fangvv/VN-MADDPG

Code for paper "基于多智能体深度强化学习的车联网通信资源分配优化"

isp1tze/MAProj

Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment

namidairo777/Distributed-MADDPG

Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.

jianzhnie/deep-marl-toolkit

MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT...

ZYunfeii/DRL_algorithm_library

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

Git-123-Hub/maddpg-pettingzoo-pytorch

implementation of MADDPG using PettingZoo and PyTorch

JohannesAck/MATD3implementation

Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics"

cyoon1729/Multi-agent-reinforcement-learning

Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG

bdvllrs/marl-patrolling-agents

Project on multi agent reinforcement learning applied on patrolling agents

Git-123-Hub/maddpg-mpe-pytorch

implementation of MADDPG using PyTorch and multiagent-particle-envs

abhismatrix1/Tennis-MultiAgent

This is Multi agent deep reinforcement learning repo which trains an agent to play Tennis. It trains by playing against itself.

Alol2565/MADDPG-ABS-Trajectory-Design

jianzhnie/RLToolkit

RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

pr-shukla/maddpg-keras

Implementation Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm in keras

deepanshut041/MlAgents

This repository contains the implementation of deep reinforcement learning algorithms to solve various unity The Environments.

fdasilva59/Udacity-Deep-Reinforcement-Learning-Nanodegree

Repository for the Udacity Deep Reinforcement Learning Nanodegree

deligentfool/maddpg

Multi-Agent Deep Deterministic Policy Gradient implementation with pytorch

vivekthota16/Project-Collaboration-and-Competition-Udacity-Deep-Reinforcement-Learning

Tennis Game play using Multi Agent DDPG - Deep Reinforcement Learning

EyaRhouma/collaboration-competition-MADDPG

My solution to Collaboration and Competition using MADDPG algorithm, Udacity 3rd project of Deep RL Nanodegree from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

nkrgit/Fleet-Scheduling-using-MADDPG-Multi-Agent-RL

Developed a Multi-Agent DDPG to solve Vehicle Scheduling problem.

katnoria/unityml-tennis

In this repo, I implement deep deterministic policy gradients and multi-agent deep deterministic poilicy gradients to solve the Tennis enironment (Unity ML-Agents)

bmaxdk/DeepRL-ND-Collaboration-Competition

Multi-Agent Reinforcement Learning: Collaboration and Competition

Peace1997/Deep_Reinforcement_Learning_Robot_Car_Confrontation

In box2d environment, complete the laser shooting battle of car 1v1 and 2v2 through the method of deep reinforcement learning.

NcJie/multiagent-ddpg

Multi-agent DDPG on ml-agents environment

jerry871002/bpr-gto-rl-comparison

Comparing Exploitation-Based and Game Theory Optimal Based Approaches in a Multi-Agent Environment (2020 Spring)

selim-karaduman/pytorch-drl-algs

Some model free RL algorithms

StavrosOrf/MultiAgentLearning

Experimenting with Policy Gradient Reinforcement Learning Algorithms and Evolutionary Strategies in a warehouse congestion-management domain.

telmo-correa/DRLND-project-3

Implementation of project 3 for Udacity's Deep Reinforcement Learning Nanodegree

yongjin-shin/rl_torch

Repository for RL code practicing

dch133/MADDPG-With-Robot-Arms

Multi Agent Determinisitc Deep Policy Gradients run on OpenAI Robot Arms Environments

dissendahl/flow

Computational framework for reinforcement learning in traffic control

KanikaGera/Multi-Agent-Collabrative-Comparitve-Environment

This Repository Contains PyTorch Implementation of Multi Agent DDPG Algorithm to train agents to play tennis.

Ohara124c41/DRLND-Collaborate-n-Competition

Learn how to apply reinforcement learning methods to applications that involve multiple, interacting agents. These techniques are used in a variety of applications, such as the coordination of autonomous vehicles.