XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

Multi agent reinforcement learning: PyTorch implementations of several algorithms for Multi Agent domains

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

Multi-agent RL algorithm

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

Build and test DRL algorithms in different environments

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"

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

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 ....

implementation of MADDPG using PettingZoo and PyTorch

An implementation of MADDPG multi-agent to solve a Unity environment like Tennis and Soccer.

Trained a pair of agents to play tennis. Reinforcement Learning methods were used along with various Deep Learning algorithms.

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

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

Multi-Agent Reinforcement Learning: Collaboration and Competition

Usage of Unity ML-Agents train two agents to play tennis

Using MADDPG for solving Multi Agent Based Unity Environment

Some of my solutions of the exercises and all my projects of the Udacity Deep Reinforcement Learning Nanodegree https://www.udacity.com/course/deep-reinforcement-learning-nanodegree--nd893

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