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Search results for pytorch multi agent reinforcement learning

multi-agent-reinforcement-learning x

25 search results found

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Marllib ⭐ 611

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

Unified Reinforcement Learning Framework

Agilerl ⭐ 457

Streamlining reinforcement learning with RLOps

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

Vectorizedmultiagentsimulator ⭐ 210

VMAS is a vectorized framework 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.

Multi Agent Reinforcement Learning ⭐ 127

PyTorch implements multi-agent reinforcement learning algorithms, including QMIX, Independent PPO, Centralized PPO, Grid Wise Control, Grid Wise Control+PPO, Grid Wise Control+DDPG.

Benchmarl ⭐ 115

A collection of MARL benchmarks based on TorchRL

Learning-based agent for Google Research Football (足球游戏智能体)

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''.

Db Football ⭐ 80

A Simple, Distributed and Asynchronous Multi-Agent Reinforcement Learning Framework for Google Research Football AI.

Spatial Intention Maps ⭐ 65

Learning multi-agent robotic mobile manipulation with deep reinforcement learning

Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS 2021 Spotlight https://arxiv.org/abs/2106.03400)

The implementation of AAAI'22 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".

Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体

The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".

Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体

The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization" (NeurIPS 2023)

[NeurIPS 2020] PyTorch implementation of "Learning Implicit Credit Assignment for Cooperative Muti-Agent Reinforcement Learning"

Code for "SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning" AAAI 2020

Multi_agent_soft_actor_critic ⭐ 8

A Pytorch Implementation of Multi Agent Soft Actor Critic

Dhc Robust Mapf ⭐ 6

Learnable MAPF. “Distributed Heuristic Multi-Agent Path Finding with Communication” (DHC) algorithm from ICRA 2021 is implemented and benchmarked in out-of-distribution (OOD) scenarios. A new robust training loop to handle communication failures is introduced.

Multi Agent Reinforcement Learning ⭐ 6

Reinforcement Learning approaches for learning communication in Multi Agent Systems.

Implementation of Deep Reinforcement Learning algorithms in the Unity game engine.

Rl Stock Trading ⭐ 5

WATERMELON: Multi-Agent Reinforcement Learning Based Algorithmic Stock Trading System with GUI Application

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