p7cs.MA

Category

cs.MA

75 papers

Counterfactual Multi-Agent Policy Gradients

Jakob Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson

1705.08926

Optimal Algorithms for Distributed Optimization

César A. Uribe, Soomin Lee, Alexander Gasnikov, Angelia Nedić

1712.00232

Stable Opponent Shaping in Differentiable Games

Alistair Letcher, Jakob Foerster, David Balduzzi, Tim Rocktäschel, Shimon Whiteson

1811.08469

Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization

Angelia Nedić, Alex Olshevsky, Michael G. Rabbat

1709.08765

The Mechanics of n-Player Differentiable Games

David Balduzzi, Sebastien Racaniere, James Martens, Jakob Foerster, Karl Tuyls, Thore Graepel

1802.05642

Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning

Yu Fan Chen, Miao Liu, Michael Everett, Jonathan P. How

1609.07845

On Distributed Cooperative Decision-Making in Multiarmed Bandits

Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard

1512.06888

ProAgent: Building Proactive Cooperative Agents with Large Language Models

Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang

2308.11339

Language Instructed Reinforcement Learning for Human-AI Coordination

Hengyuan Hu, Dorsa Sadigh

2304.07297

Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity

Kaiqing Zhang, Sham M. Kakade, Tamer Başar, Lin F. Yang

2007.07461

Who2com: Collaborative Perception via Learnable Handshake Communication

Yen-Cheng Liu, Junjiao Tian, Chih-Yao Ma, Nathan Glaser, Chia-Wen Kuo, Zsolt Kira

2003.09575

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning

Jakob Foerster, Nantas Nardelli, Gregory Farquhar, Triantafyllos Afouras, Philip H. S. Torr, Pushmeet Kohli, Shimon Whiteson

1702.08887

A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity

Pablo Hernandez-Leal, Michael Kaisers, Tim Baarslag, Enrique Munoz de Cote

1707.09183

Differentiable Game Mechanics

Alistair Letcher, David Balduzzi, Sebastien Racaniere, James Martens, Jakob Foerster, Karl Tuyls, Thore Graepel

1905.04926

MindAgent: Emergent Gaming Interaction

Ran Gong, Qiuyuan Huang, Xiaojian Ma, Hoi Vo, Zane Durante, Yusuke Noda, Zilong Zheng, Song-Chun Zhu, Demetri Terzopoulos, Li Fei-Fei, Jianfeng Gao

2309.09971

Multi-Agent Learning in Network Zero-Sum Games is a Hamiltonian System

James P. Bailey, Georgios Piliouras

1903.01720

Emergent Tool Use From Multi-Agent Autocurricula

Bowen Baker, Ingmar Kanitscheider, Todor Markov, Yi Wu, Glenn Powell, Bob McGrew, Igor Mordatch

1909.07528

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Sirui Hong, Mingchen Zhuge, Jiaqi Chen, Xiawu Zheng, Yuheng Cheng, Ceyao Zhang, Jinlin Wang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran, Lingfeng Xiao, Chenglin Wu, Jürgen Schmidhuber

2308.00352

Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input

Angeliki Lazaridou, Karl Moritz Hermann, Karl Tuyls, Stephen Clark

1804.03984

A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning

Marc Lanctot, Vinicius Zambaldi, Audrunas Gruslys, Angeliki Lazaridou, Karl Tuyls, Julien Perolat, David Silver, Thore Graepel

1711.00832

Decentralized learning for wireless communications and networking

Georgios B. Giannakis, Qing Ling, Gonzalo Mateos, Ioannis D. Schizas, Hao Zhu

1503.08855

Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning

Anton Bakhtin, David J Wu, Adam Lerer, Jonathan Gray, Athul Paul Jacob, Gabriele Farina, Alexander H Miller, Noam Brown

2210.05492

When2com: Multi-Agent Perception via Communication Graph Grouping

Yen-Cheng Liu, Junjiao Tian, Nathaniel Glaser, Zsolt Kira

2006.00176

Stochastic Gradient Push for Distributed Deep Learning

Mahmoud Assran, Nicolas Loizou, Nicolas Ballas, Michael Rabbat

1811.10792

Convergence of sequences: a survey

Barbara Franci, Sergio Grammatico

2111.11374

Provably Efficient Reinforcement Learning in Decentralized General-Sum Markov Games

Weichao Mao, Tamer Başar

2110.05682

Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence

Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Mihailo R. Jovanović

2202.04129

On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning

Weichao Mao, Lin F. Yang, Kaiqing Zhang, Tamer Başar

2110.05707

V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL

Chi Jin, Qinghua Liu, Yuanhao Wang, Tiancheng Yu

2110.14555

Emergent Communication through Negotiation

Kris Cao, Angeliki Lazaridou, Marc Lanctot, Joel Z Leibo, Karl Tuyls, Stephen Clark

1804.03980

Multi-agent Reinforcement Learning in Sequential Social Dilemmas

Joel Z. Leibo, Vinicius Zambaldi, Marc Lanctot, Janusz Marecki, Thore Graepel

1702.03037

Multi-Agent Cooperation and the Emergence of (Natural) Language

Angeliki Lazaridou, Alexander Peysakhovich, Marco Baroni

1612.07182

Performance and Convergence of Multi-user Online Learning

Cem Tekin, Mingyan Liu

1107.4153

OpenSpiel: A Framework for Reinforcement Learning in Games

Marc Lanctot, Edward Lockhart, Jean-Baptiste Lespiau, Vinicius Zambaldi, Satyaki Upadhyay, Julien Pérolat, Sriram Srinivasan, Finbarr Timbers, Karl Tuyls, Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Paul Muller, Timo Ewalds, Ryan Faulkner, János Kramár, Bart De Vylder, Brennan Saeta, James Bradbury, David Ding, Sebastian Borgeaud, Matthew Lai, Julian Schrittwieser, Thomas Anthony, Edward Hughes, Ivo Danihelka, Jonah Ryan-Davis

1908.09453

Revisiting Randomized Gossip Algorithms: General Framework, Convergence Rates and Novel Block and Accelerated Protocols

Nicolas Loizou, Peter Richtárik

1905.08645

Open Problems in Cooperative AI

Allan Dafoe, Edward Hughes, Yoram Bachrach, Tantum Collins, Kevin R. McKee, Joel Z. Leibo, Kate Larson, Thore Graepel

2012.08630

Graph Convolutional Reinforcement Learning

Jiechuan Jiang, Chen Dun, Tiejun Huang, Zongqing Lu

1810.09202

What game are we playing? End-to-end learning in normal and extensive form games

Chun Kai Ling, Fei Fang, J. Zico Kolter

1805.02777

Decentralized Q-Learning in Zero-sum Markov Games

Muhammed O. Sayin, Kaiqing Zhang, David S. Leslie, Tamer Basar, Asuman Ozdaglar

2106.02748

A Survey and Critique of Multiagent Deep Reinforcement Learning

Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor

1810.05587

Learning Attentional Communication for Multi-Agent Cooperation

Jiechuan Jiang, Zongqing Lu

1805.07733

Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols

Serhii Havrylov, Ivan Titov

1705.11192

Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems

Stefano V. Albrecht, Peter Stone

1709.08071

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

Chao Yu, Akash Velu, Eugene Vinitsky, Jiaxuan Gao, Yu Wang, Alexandre Bayen, Yi Wu

2103.01955

Cooperative Perception for 3D Object Detection in Driving Scenarios using Infrastructure Sensors

Eduardo Arnold, Mehrdad Dianati, Robert de Temple, Saber Fallah

1912.12147

Deep Reinforcement Learning in Parameterized Action Space

Matthew Hausknecht, Peter Stone

1511.04143

Learning to Communicate with Deep Multi-Agent Reinforcement Learning

Jakob N. Foerster, Yannis M. Assael, Nando de Freitas, Shimon Whiteson

1605.06676

K-level Reasoning for Zero-Shot Coordination in Hanabi

Brandon Cui, Hengyuan Hu, Luis Pineda, Jakob N. Foerster

2207.07166

Modeling Strong and Human-Like Gameplay with KL-Regularized Search

Athul Paul Jacob, David J. Wu, Gabriele Farina, Adam Lerer, Hengyuan Hu, Anton Bakhtin, Jacob Andreas, Noam Brown

2112.07544

Nash Learning from Human Feedback

Rémi Munos, Michal Valko, Daniele Calandriello, Mohammad Gheshlaghi Azar, Mark Rowland, Zhaohan Daniel Guo, Yunhao Tang, Matthieu Geist, Thomas Mesnard, Andrea Michi, Marco Selvi, Sertan Girgin, Nikola Momchev, Olivier Bachem, Daniel J. Mankowitz, Doina Precup, Bilal Piot

2312.00886

Mean Field Multi-Agent Reinforcement Learning

Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang

1802.05438

Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing

Filippos Christianos, Georgios Papoudakis, Arrasy Rahman, Stefano V. Albrecht

2102.07475

TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data

Braden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven Waslander

1909.07867

Evaluating the Robustness of Collaborative Agents

Paul Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, A. D. Dragan, Rohin Shah

2101.05507

Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning

Jakob N. Foerster, Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew Botvinick, Michael Bowling

1811.01458

Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination

Shauharda Khadka, Somdeb Majumdar, Santiago Miret, Stephen McAleer, Kagan Tumer

1906.07315

Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design

Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre Bayen, Stuart Russell, Andrew Critch, Sergey Levine

2012.02096

Modelling Behavioural Diversity for Learning in Open-Ended Games

Nicolas Perez Nieves, Yaodong Yang, Oliver Slumbers, David Henry Mguni, Ying Wen, Jun Wang

2103.07927

AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning

Shuofei Qiao, Ningyu Zhang, Runnan Fang, Yujie Luo, Wangchunshu Zhou, Yuchen Eleanor Jiang, Chengfei Lv, Huajun Chen

2401.05268

Emergent Reciprocity and Team Formation from Randomized Uncertain Social Preferences

Bowen Baker

2011.05373

$α$-Rank: Multi-Agent Evaluation by Evolution

Shayegan Omidshafiei, Christos Papadimitriou, Georgios Piliouras, Karl Tuyls, Mark Rowland, Jean-Baptiste Lespiau, Wojciech M. Czarnecki, Marc Lanctot, Julien Perolat, Remi Munos

1903.01373

Learning Transferable Cooperative Behavior in Multi-Agent Teams

Akshat Agarwal, Sumit Kumar, Katia Sycara

1906.01202

Continuous Coordination As a Realistic Scenario for Lifelong Learning

Hadi Nekoei, Akilesh Badrinaaraayanan, Aaron Courville, Sarath Chandar

2103.03216

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Zijun Liu, Yanzhe Zhang, Peng Li, Yang Liu, Diyi Yang

2310.02170

Multiple Futures Prediction

Yichuan Charlie Tang, Ruslan Salakhutdinov

1911.00997

Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning

Georgios Papoudakis, Filippos Christianos, Arrasy Rahman, Stefano V. Albrecht

1906.04737

Multiagent Evaluation under Incomplete Information

Mark Rowland, Shayegan Omidshafiei, Karl Tuyls, Julien Perolat, Michal Valko, Georgios Piliouras, Remi Munos

1909.09849

Relational Forward Models for Multi-Agent Learning

Andrea Tacchetti, H. Francis Song, Pedro A. M. Mediano, Vinicius Zambaldi, Neil C. Rabinowitz, Thore Graepel, Matthew Botvinick, Peter W. Battaglia

1809.11044

Improving Policies via Search in Cooperative Partially Observable Games

Adam Lerer, Hengyuan Hu, Jakob Foerster, Noam Brown

1912.02318

Deep Multi-Agent Reinforcement Learning with Relevance Graphs

Aleksandra Malysheva, Tegg Taekyong Sung, Chae-Bong Sohn, Daniel Kudenko, Aleksei Shpilman

1811.12557

Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist

Alexander Trott, Sunil Srinivasa, Douwe van der Wal, Sebastien Haneuse, Stephan Zheng

2108.02904

Chore division on a graph

Sylvain Bouveret, Katarína Cechlárová, Julien Lesca

1812.01856

Towards Non-I.I.D. and Invisible Data with FedNAS: Federated Deep Learning via Neural Architecture Search

Chaoyang He, Murali Annavaram, Salman Avestimehr

2004.08546

Improved Convergence Rates for Distributed Resource Allocation

Angelia Nedić, Alex Olshevsky, Wei Shi

1706.05441

The Conference Paper Assignment Problem: Using Order Weighted Averages to Assign Indivisible Goods

Jing Wu Lian, Nicholas Mattei, Renee Noble, Toby Walsh

1705.06840