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33 search results found

Open_spiel ⭐ 4,326

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

Rlcard ⭐ 2,260

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Magent ⭐ 1,502

A Platform for Many-agent Reinforcement Learning

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

Awesome Game Ai ⭐ 522

Awesome Game AI materials of Multi-Agent Reinforcement Learning

Gobigger ⭐ 483

[ICLR 2023] Come & try Decision-Intelligence version of "Agar"! Gobigger could also help you with multi-agent decision intelligence study.

Agilerl ⭐ 457

Streamlining reinforcement learning with RLOps

A collection of multi agent environments based on OpenAI gym.

Pytorch Drl ⭐ 387

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Virtualhome ⭐ 311

API to run VirtualHome, a Multi-Agent Household Simulator

Open-Source Framework for Development, Simulation and Benchmarking of Behavior Planning Algorithms for Autonomous Driving

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

Robotic Warehouse ⭐ 170

Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

Gobigger Explore ⭐ 153

Still struggling with the high threshold or looking for the appropriate baseline? Come here and new starters can also play with your own multi-agents!

Timechamber ⭐ 121

A Massively Parallel Large Scale Self-Play Framework

Benchmarl ⭐ 115

A collection of MARL benchmarks based on TorchRL

[AAAI 2023] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency".

Multiagenttorcs ⭐ 113

The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.

Multi Commander ⭐ 92

Multi & Single Agent Reinforcement Learning for Traffic Signal Control Problem

MAGNet: Multi-agents control using Graph Neural Networks

Fruit Api ⭐ 50

A Universal Deep Reinforcement Learning Framework

Rl_matrix ⭐ 36

Reinforcement Learning Agents in .NET

A collection of multi-agent reinforcement learning OpenAI gym environments

Modelrepo ⭐ 29

reproduce some RL or Multi-Agent models

Ai Traineree ⭐ 21

PyTorch agents and tools for (Deep) Reinforcement Learning

Multi Agent Drl ⭐ 18

Multi-agent deep reinforcement learning research

Deep Reinforcement Learning Algorithm Collection ⭐ 17

Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.

Machine Learning Summer Schools ⭐ 14

Curated materials for different machine learning related summer schools

Bevy_rl_shooter ⭐ 13

👾Multi-Agent 🎮 FPS Gym Environment with 🏋️ bevy_rl

Visualdialog Pytorch ⭐ 13

Community Regularization of Visually Grounded Dialog https://arxiv.org/abs/1808.04359

Multi Agent Ddpg Using Pttorch And Ml Agents ⭐ 11

A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.

Rl Multi Agent Car Parking ⭐ 8

Multi-Agent Car Parking using Reinforcement Learning.

Social Nce Stgcnn ⭐ 8

[ICCV'21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch, for Social-STGCNN on trajectory forecasting.

Macad Agents ⭐ 8

Agents code for Multi-Agent Connected Autonomous Driving (MACAD) described in the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

Reinforcementlearning.today ⭐ 7

Made for a reading group at the Center for Safe AGI.

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

Beer Game Env ⭐ 5

Beer Game implemented as an OpenAI gym environment.

Aocnr2023 A2cbf ⭐ 5

Using step-by-step tutorial in implementing the technique discussed in the paper titled "Actor-Critic Bilateral Filter for High-Stability Edge-Preserving T2-FLAIR MRI Image Denoising" was presented at the 14th Asian-Oceanian Congress of Neuroradiology held in Singapore in conjunction with SGCR-WIRES.

Adleap Mas ⭐ 5

The AdLeap-MAS project proposes a new framework for implementing and simulating Ad-hoc reasoning environments. Built 100% in Python using the Open-AI Gym as its basis, we propose a component-based architecture to enable quick implementations to perform multi-agents systems experiments.

Awesome Multi Agent ⭐ 5

A curated list of awesome multi-agent learning papers

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