XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
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Updated
Dec 12, 2024 - Python
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
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 of MADDPG using PettingZoo and PyTorch
Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.
This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.
Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics"
Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
Project on multi agent reinforcement learning applied on patrolling agents
implementation of MADDPG using PyTorch and multiagent-particle-envs
Implementation Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm in keras
This is Multi agent deep reinforcement learning repo which trains an agent to play Tennis. It trains by playing against itself.
Developed a Multi-Agent DDPG to solve Vehicle Scheduling problem.
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