MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence

2 December 2017

Yong Yu

Papers citing "MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence"

50 / 61 papers shown

Title
Rethinking Agent Design: From Top-Down Workflows to Bottom-Up Skill Evolution Jiawei Du Jinlong Wu Yuzheng Chen Yucheng Hu Bing Li Joey Tianyi Zhou 251 0 0 23 May 2025
Bi-level Mean Field: Dynamic Grouping for Large-Scale MARL Yuxuan Zheng Yihe Zhou Feiyang Xu Mingli Song Shunyu Liu OffRL 89 0 0 10 May 2025
Causal Mean Field Multi-Agent Reinforcement Learning Hao Ma Zhiqiang Pu Yi Pan Boyin Liu Junlong Gao Zhenyu Guo 166 0 0 20 Feb 2025
Collective Intelligence for 2D Push Manipulations with Mobile Robots So Kuroki T. Matsushima Jumpei Arima Hiroki Furuta Yutaka Matsuo S. Gu Yujin Tang 160 5 0 28 Jan 2025
Leveraging Team Correlation for Approximating Equilibrium in Two-Team Zero-Sum Games Naming Liu Mingzhi Wang Youzhi Zhang Yaodong Yang Bo An Ying Wen 72 0 0 01 Mar 2024
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control Songyuan Zhang Oswin So Kunal Garg Chuchu Fan AI4CE 171 24 0 25 Jan 2024
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning M. Gerstgrasser Tom Danino Sarah Keren 77 7 0 01 Nov 2023
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework Arshia Soltani Moakhar Mohammad Azizmalayeri Hossein Mirzaei M. T. Manzuri M. Rohban 82 2 0 15 Oct 2023
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 169 2 0 05 Jun 2023
Latent Interactive A2C for Improved RL in Open Many-Agent Systems Keyang He Prashant Doshi Bikramjit Banerjee OffRL 53 3 0 09 May 2023
Artificial Collective Intelligence Engineering: a Survey of Concepts and Perspectives Roberto Casadei AI4CE 50 15 0 11 Apr 2023
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning Shanqi Liu Yujing Hu Runze Wu Dongxian Xing Yu Xiong Changjie Fan Kun Kuang Y. Liu 54 1 0 14 Feb 2023
Emergent collective intelligence from massive-agent cooperation and competition H. Chen Stone Tao Jiaxin Chen Weihan Shen Xihui Li Chenghui Yu Sikai Cheng Xiaolong Zhu Xiu Li 30 4 0 04 Jan 2023
Multi-agent Dynamic Algorithm Configuration Ke Xue Jiacheng Xu Lei Yuan Mingxing Li Chao Qian Zongzhang Zhang Yang Yu 102 32 0 13 Oct 2022
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning Dianbo Liu Vedant Shah Oussama Boussif Cristian Meo Anirudh Goyal Tianmin Shu Michael C. Mozer N. Heess Yoshua Bengio 120 8 0 04 Oct 2022
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning Kai Cui Anam Tahir Gizem Ekinci Ahmed Elshamanhory Yannick Eich Mengguang Li Heinz Koeppl AI4CE 164 15 0 08 Sep 2022
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning Matteo Bettini Ryan Kortvelesy J. Blumenkamp Amanda Prorok 70 41 0 07 Jul 2022
NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios Jiajun Chai Yuanheng Zhu Dongbin Zhao 56 0 0 03 Jul 2022
Toward multi-target self-organizing pursuit in a partially observable Markov game Lijun Sun Yu-Cheng Chang Chao Lyu Ye-ling Shi Yuhui Shi Chin-Teng Lin 58 8 0 24 Jun 2022
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL Siyi Hu Chuanlong Xie Xiaodan Liang Xiaojun Chang 56 22 0 01 Jun 2022
RoMFAC: A robust mean-field actor-critic reinforcement learning against adversarial perturbations on states Ziyuan Zhou Guanjun Liu AAML 99 25 0 15 May 2022
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility Lukas M. Schmidt Johanna Brosig Axel Plinge Bjoern M. Eskofier Christopher Mutschler 95 34 0 15 Mar 2022
A Deep Reinforcement Learning Environment for Particle Robot Navigation and Object Manipulation Jeremy Shen Erdong Xiao Yuchen Liu Chen Feng 71 7 0 12 Mar 2022
PooL: Pheromone-inspired Communication Framework forLarge Scale Multi-Agent Reinforcement Learning Zixuan Cao Mengzhi Shi Zhanbo Zhao Xiujun Ma 56 1 0 20 Feb 2022
Individual-Level Inverse Reinforcement Learning for Mean Field Games Yang Chen Libo Zhang Jiamou Liu Shuyue Hu AI4CE 80 9 0 13 Feb 2022
Decentralized Mean Field Games Sriram Ganapathi Subramanian Matthew E. Taylor Mark Crowley Pascal Poupart OOD OffRL 116 15 0 16 Dec 2021
Collective Intelligence for Deep Learning: A Survey of Recent Developments David R Ha Yu Tang AI4CE 127 70 0 29 Nov 2021
Foresight of Graph Reinforcement Learning Latent Permutations Learnt by Gumbel Sinkhorn Network Tianqi Shen Hong Zhang Ding Yuan Jiaping Xiao Yifan Yang AI4CE 58 1 0 23 Oct 2021
The Neural MMO Platform for Massively Multiagent Research Joseph Suárez Yilun Du Clare Zhu Igor Mordatch Phillip Isola AI4CE 85 25 0 14 Oct 2021
Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially Observable Environments Zhenhui Ye Xiaohong Jiang Guang-hua Song Bowei Yang 35 1 0 05 Sep 2021
A Microscopic Pandemic Simulator for Pandemic Prediction Using Scalable Million-Agent Reinforcement Learning Zhen-Yu Tang Kai Yan Liting Sun Wei Zhan Changliu Liu 28 2 0 14 Aug 2021
Collaborative Visual Navigation Haiyang Wang Wenguan Wang Xizhou Zhu Jifeng Dai Liwei Wang EgoV 100 20 0 02 Jul 2021
The AI Arena: A Framework for Distributed Multi-Agent Reinforcement Learning Edward W. Staley Corban G. Rivera Ashley J. Llorens AI4CE 21 1 0 09 Mar 2021
Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning Wenhao Li Xiangfeng Wang Bo Jin Junjie Sheng Yun Hua H. Zha 47 5 0 09 Feb 2021
UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers Siyi Hu Fengda Zhu Xiaojun Chang Xiaodan Liang OffRL 94 76 0 20 Jan 2021
Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates Zengyi Qin Kai Zhang Yuxiao Chen Jingkai Chen Chuchu Fan 115 133 0 14 Jan 2021
Partially Observable Mean Field Reinforcement Learning Sriram Ganapathi Subramanian Matthew E. Taylor Mark Crowley Pascal Poupart OOD 106 27 0 31 Dec 2020
DeepMind Lab2D C. Beattie Thomas Koppe Edgar A. Duénez-Guzmán Joel Z. Leibo VLM 86 18 0 13 Nov 2020
Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network Juhyeon Kim Kihyun Kim GNN 65 13 0 12 Nov 2020
PettingZoo: Gym for Multi-Agent Reinforcement Learning J. K. Terry Benjamin Black Nathaniel Grammel Mario Jayakumar Ananth Hari ... Caroline Horsch Clemens Dieffendahl Niall L. Williams Yashas Lokesh Praveen Ravi OffRL 146 288 0 30 Sep 2020
Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loop Jonathan Chung Anna Luo Xavier Raffin Scott Perry OffRL 40 3 0 20 Jul 2020
The Emergence of Individuality Jiechuan Jiang Zongqing Lu 72 40 0 10 Jun 2020
Revisiting Parameter Sharing in Multi-Agent Deep Reinforcement Learning J. K. Terry Nathaniel Grammel Sanghyun Son Benjamin Black Aakriti Agrawal 85 0 0 27 May 2020
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning Wenhao Li Bo Jin Xiangfeng Wang Junchi Yan H. Zha 106 21 0 17 Apr 2020
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 157 826 0 19 Mar 2020
Multi Type Mean Field Reinforcement Learning Sriram Ganapathi Subramanian Pascal Poupart Matthew E. Taylor N. Hegde AI4CE 139 56 0 06 Feb 2020
Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks Joseph Suárez Yilun Du Igor Mordatch Phillip Isola AI4CE 70 6 0 31 Jan 2020
Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning Weiya Ren 21 2 0 04 Jan 2020
SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning Keng Wah Loon L. Graesser Milan Cvitkovic OffRL 48 13 0 28 Dec 2019
RLCard: A Toolkit for Reinforcement Learning in Card Games Daochen Zha Kwei-Herng Lai Yuanpu Cao Songyi Huang Ruzhe Wei Junyu Guo Helen Zhou OffRL 82 58 0 10 Oct 2019