The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

2 March 2021

Chao Yu

Papers citing "The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games"

50 / 184 papers shown

Title
InvAgent: A Large Language Model based Multi-Agent System for Inventory Management in Supply Chains Yinzhu Quan Zefang Liu LLMAG 45 2 0 16 Jul 2024
Simplifying Deep Temporal Difference Learning Matteo Gallici Mattie Fellows Benjamin Ellis B. Pou Ivan Masmitja Jakob Foerster Mario Martin OffRL 62 16 0 05 Jul 2024
The Overcooked Generalisation Challenge Constantin Ruhdorfer Matteo Bortoletto Anna Penzkofer Andreas Bulling 48 4 0 25 Jun 2024
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models Chengzhengxu Li Xiaoming Liu Zhaohan Zhang Yichen Wang Chen Liu Y. Lan Chao Shen 60 2 0 15 Jun 2024
Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation Claude Formanek C. Tilbury Louise Beyers Jonathan P. Shock Arnu Pretorius OffRL 42 1 0 13 Jun 2024
Carbon Market Simulation with Adaptive Mechanism Design Han Wang Wenhao Li Hongyuan Zha Baoxiang Wang 35 3 0 12 Jun 2024
Massively Multiagent Minigames for Training Generalist Agents Kyoung Whan Choe Ryan Sullivan Joseph Suárez AI4CE 34 0 0 07 Jun 2024
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning Xinran Li Zifan Liu Shibo Chen Jun Zhang 37 3 0 28 May 2024
Mimicry and the Emergence of Cooperative Communication Dylan R. Cope Peter McBurney 35 0 0 26 May 2024
Variational Offline Multi-agent Skill Discovery Jiayu Chen Bhargav Ganguly Tian-Shing Lan OffRL 69 3 0 26 May 2024
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning Zun Li Michael P. Wellman 37 1 0 30 Apr 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories Ning Yang Shuo Chen Haijun Zhang Randall Berry OffRL 34 6 0 22 Apr 2024
Grasper: A Generalist Pursuer for Pursuit-Evasion Problems Pengdeng Li Shuxin Li Xinrun Wang Jakub Cerny Youzhi Zhang Stephen McAleer Hau Chan Bo An 42 1 0 19 Apr 2024
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation Hongxin Zhang Zeyuan Wang Qiushi Lyu Zheyuan Zhang Sunli Chen Tianmin Shu Yilun Du Kwonjoon Lee Yilun Du Chuang Gan 48 12 0 16 Apr 2024
Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration Xudong Guo Daming Shi Junjie Yu Wenhui Fan 38 4 0 05 Apr 2024
Task-priority Intermediated Hierarchical Distributed Policies: Reinforcement Learning of Adaptive Multi-robot Cooperative Transport Yusei Naito Tomohiko Jimbo Tadashi Odashima Takamitsu Matsubara 41 1 0 02 Apr 2024
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving Axel Brunnbauer Luigi Berducci P. Priller D. Ničković Radu Grosu 50 1 0 26 Mar 2024
MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification Yiqun Chen Jiaxin Mao Yi Zhang Dehong Ma Long Xia Jun Fan Daiting Shi Zhicong Cheng Simiu Gu Dawei Yin 21 2 0 26 Mar 2024
MQE: Unleashing the Power of Interaction with Multi-agent Quadruped Environment Ziyan Xiong Bo Chen Shiyu Huang Weijuan Tu Zhaofeng He Yang Gao 40 4 0 24 Mar 2024
Scaling Team Coordination on Graphs with Reinforcement Learning Manshi Limbu Zechen Hu Xuan Wang Daigo Shishika Xuesu Xiao 31 4 0 09 Mar 2024
Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisition Dylan R. Cope Peter McBurney 40 0 0 26 Feb 2024
Aligning Individual and Collective Objectives in Multi-Agent Cooperation Yang Li Wenhao Zhang Jianhong Wang Shao Zhang Yali Du Ying Wen Wei Pan 31 1 0 19 Feb 2024
Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning Maxime Toquebiau Nicolas Bredeche F. Benamar Jae-Yun Jun 36 1 0 06 Feb 2024
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control Songyuan Zhang Oswin So Kunal Garg Chuchu Fan AI4CE 46 22 0 25 Jan 2024
Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking Yujiao Zhu Ming Chen Sihua Wang Ye Hu Yuchen Liu Changchuan Yin 13 5 0 22 Jan 2024
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning Xin Yu Rongye Shi Pu Feng Yongkai Tian Simin Li Shuhao Liao Wenjun Wu 40 9 0 30 Dec 2023
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems Eduardo Sebastián T. Duong Nikolay Atanasov Eduardo Montijano C. Sagüés 31 3 0 30 Dec 2023
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning Guojian Wang Faguo Wu Xiao Zhang Ning Guo Zhiming Zheng 41 3 0 27 Dec 2023
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library Wenzhang Liu Wenzhe Cai Kun Jiang Guangran Cheng Yuanda Wang Changyin Sun Jingyu Cao Lele Xu Chaoxu Mu Changyin Sun 39 4 0 25 Dec 2023
Sparse Mean Field Load Balancing in Large Localized Queueing Systems Anam Tahir Kai Cui Heinz Koeppl 40 0 0 20 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 36 8 0 15 Dec 2023
On Diagnostics for Understanding Agent Training Behaviour in Cooperative MARL Wiem Khlifi Siddarth S. Singh Omayma Mahjoub Ruan de Kock Abidine Vall R. Gorsane Arnu Pretorius 39 1 0 13 Dec 2023
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning Matteo Bettini Amanda Prorok Vincent Moens OffRL 39 15 0 03 Dec 2023
Reward Shaping for Improved Learning in Real-time Strategy Game Play John Kliem Prithviraj Dasgupta OffRL 19 1 0 27 Nov 2023
QFree: A Universal Value Function Factorization for Multi-Agent Reinforcement Learning Rizhong Wang Huiping Li Di Cui Demin Xu OffRL 26 0 0 01 Nov 2023
Active Neural Topological Mapping for Multi-Agent Exploration Xinyi Yang Yuxiang Yang Chao Yu Jiayu Chen Jingchen Yu Haibing Ren Huazhong Yang Yu Wang 37 5 0 01 Nov 2023
Iteratively Learn Diverse Strategies with State Distance Information Wei Fu Weihua Du Jingwei Li Sunli Chen Jingzhao Zhang Yi Wu 51 3 0 23 Oct 2023
Influence of Team Interactions on Multi-Robot Cooperation: A Relational Network Perspective Yasin Findik Hamid Osooli Paul Robinette Kshitij Jerath S. Ahmadzadeh 38 5 0 19 Oct 2023
Collaborative Adaptation: Learning to Recover from Unforeseen Malfunctions in Multi-Robot Teams Yasin Findik Paul Robinette Kshitij Jerath S. Ahmadzadeh 34 2 0 19 Oct 2023
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination Xihuai Wang Shao Zhang Wenhao Zhang Wentao Dong Jingxiao Chen Ying Wen Weinan Zhang 36 8 0 08 Oct 2023
Multi-Agent Reinforcement Learning for Power Grid Topology Optimization E. V. D. Sar Alessandro Zocca Sandjai Bhulai 32 0 0 04 Oct 2023
Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization Chenyang Miao Yunduan Cui Huiyun Li Xin Wu 24 5 0 26 Sep 2023
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control Botian Xu Feng Gao Chao Yu Chao Yu Yi Wu Yu Wang 36 28 0 22 Sep 2023
Learning Cyber Defence Tactics from Scratch with Multi-Agent Reinforcement Learning Jacob Wiebe Ranwa Al Mallah Li Li AAML 36 3 0 25 Aug 2023
FoX: Formation-aware exploration in multi-agent reinforcement learning Yonghyeon Jo Sunwoo Lee Junghyuk Yum Seungyul Han 35 5 0 22 Aug 2023
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making Giovanni Minelli Mirco Musolesi 33 0 0 21 Aug 2023
Heterogeneous Multi-Agent Reinforcement Learning via Mirror Descent Policy Optimization Mohammad Mehdi Nasiri M. Rezghi 38 0 0 13 Aug 2023
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning Zhuoran Li Ling Pan Longbo Huang DiffM OffRL 23 7 0 04 Jul 2023
Enhancing the Robustness of QMIX against State-adversarial Attacks Weiran Guo Guanjun Liu Ziyuan Zhou Ling Wang Jiacun Wang AAML 32 7 0 03 Jul 2023
Decentralized Multi-Agent Reinforcement Learning with Global State Prediction Josh Bloom Pranjal Paliwal Apratim Mukherjee Carlo Pinciroli 30 3 0 22 Jun 2023