A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning

8 September 2022

Papers citing "A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning"

48 / 98 papers shown

Title
A Variational Perturbative Approach to Planning in Graph-based Markov Decision Processes Dominik Linzner Heinz Koeppl 32 1 0 04 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kai Zhang Zhuoran Yang Tamer Basar 179 1,213 0 24 Nov 2019
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning René Carmona Mathieu Laurière Zongjun Tan OffRL 57 98 0 28 Oct 2019
Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning Michael Everett Yu Fan Chen Jonathan P. How OffRL 90 173 0 24 Oct 2019
Learning Nearly Decomposable Value Functions Via Communication Minimization Tonghan Wang Jianhao Wang Chongyi Zheng Chongjie Zhang 40 133 0 11 Oct 2019
Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods René Carmona Mathieu Laurière Zongjun Tan 69 63 0 09 Oct 2019
A Generalized Training Approach for Multiagent Learning Paul Muller Shayegan Omidshafiei Mark Rowland K. Tuyls Julien Perolat ... Zhe Wang Guy Lever N. Heess T. Graepel Rémi Munos 47 91 0 27 Sep 2019
Deep Coordination Graphs Wendelin Bohmer Vitaly Kurin Shimon Whiteson GNN 66 178 0 27 Sep 2019
Deep Reinforcement Learning with Discrete Normalized Advantage Functions for Resource Management in Network Slicing Chen Qi Yuxiu Hua Rongpeng Li Zhifeng Zhao Honggang Zhang 45 68 0 10 Jun 2019
Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control Tianshu Chu Jie Wang Lara Codecà Zhaojian Li 42 667 0 11 Mar 2019
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity Deepak Pathak Chris Xiaoxuan Lu Trevor Darrell Phillip Isola Alexei A. Efros 42 135 0 14 Feb 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 752 8,526 0 03 Jan 2019
TarMAC: Targeted Multi-Agent Communication Abhishek Das Théophile Gervet Joshua Romoff Dhruv Batra Devi Parikh Michael G. Rabbat Joelle Pineau 101 384 0 26 Oct 2018
Graph Convolutional Reinforcement Learning Jiechuan Jiang Chen Dun Tiejun Huang Zongqing Lu GNN 53 337 0 22 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 104 559 0 12 Oct 2018
A Comparative Study of Bug Algorithms for Robot Navigation K. McGuire Guido de Croon K. Tuyls 36 106 0 15 Aug 2018
Deep Reinforcement Learning for Swarm Systems Maximilian Hüttenrauch Adrian Šošić Gerhard Neumann 42 197 0 17 Jul 2018
A Tour of Reinforcement Learning: The View from Continuous Control Benjamin Recht 118 626 0 25 Jun 2018
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control Yangchen Pan Amir-massoud Farahmand Martha White S. Nabi P. Grover D. Nikovski 72 19 0 13 Jun 2018
Learning Attentional Communication for Multi-Agent Cooperation Jiechuan Jiang Zongqing Lu 60 487 0 20 May 2018
Unmanned Aerial Vehicles: A Survey on Civil Applications and Key Research Challenges Hazim Shakhatreh Ahmad H. Sawalmeh Ala I. Al-Fuqaha Zuochao Dou Eyad K. Almaita Issa M. Khalil Noor Shamsiah Othman Abdallah Khreishah Mohsen Guizani 122 1,512 0 19 Apr 2018
QMIX: 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 140 1,671 0 30 Mar 2018
Cooperative and Distributed Reinforcement Learning of Drones for Field Coverage H. Pham Hung M. La David Feil-Seifer L. Nguyen 32 96 0 20 Mar 2018
Decentralised Learning in Systems with Many, Many Strategic Agents D. Mguni Joel Jennings Enrique Munoz de Cote 54 63 0 13 Mar 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents Kai Zhang Zhuoran Yang Han Liu Tong Zhang Tamer Basar 68 589 0 23 Feb 2018
Mean Field Multi-Agent Reinforcement Learning Yaodong Yang Rui Luo Minne Li M. Zhou Weinan Zhang Jun Wang AI4CE 61 574 0 15 Feb 2018
MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence Lianmin Zheng Jiacheng Yang Han Cai Weinan Zhang Jun Wang Yong Yu 52 211 0 02 Dec 2017
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning Marc Lanctot V. Zambaldi A. Gruslys Angeliki Lazaridou K. Tuyls Julien Perolat David Silver T. Graepel 102 636 0 02 Nov 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 120 2,812 0 19 Aug 2017
StarCraft II: A New Challenge for Reinforcement Learning Oriol Vinyals T. Ewalds Sergey Bartunov Petko Georgiev A. Vezhnevets ... Anthony Brunasso David Lawrence Anders Ekermo J. Repp Rodney Tsing 76 874 0 16 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 478 19,006 0 20 Jul 2017
Expected Policy Gradients K. Ciosek Shimon Whiteson 50 57 0 15 Jun 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 140 4,482 0 07 Jun 2017
Counterfactual Multi-Agent Policy Gradients Jakob N. Foerster Gregory Farquhar Triantafyllos Afouras Nantas Nardelli Shimon Whiteson 119 2,073 0 24 May 2017
Socially Aware Motion Planning with Deep Reinforcement Learning Yu Fan Chen Michael Everett Miao Liu Jonathan P. How 94 681 0 26 Mar 2017
Cryptocurrency Portfolio Management with Deep Reinforcement Learning Zhengyao Jiang Jinjun Liang AIFin 63 207 0 05 Dec 2016
Learning Multiagent Communication with Backpropagation Sainbayar Sukhbaatar Arthur Szlam Rob Fergus 214 1,146 0 25 May 2016
Learning to Communicate with Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Yannis Assael Nando de Freitas Shimon Whiteson 149 1,607 0 21 May 2016
Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs (Extended Version) P. Robbel F. Oliehoek Mykel J. Kochenderfer 33 29 0 29 Nov 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 318 13,237 0 09 Sep 2015
The Complexity of Decentralized Control of Markov Decision Processes D. Bernstein S. Zilberstein N. Immerman 100 1,590 0 16 Jan 2013
Exploiting Structure in Cooperative Bayesian Games F. Oliehoek Shimon Whiteson M. Spaan 66 18 0 16 Oct 2012
MAA*: A Heuristic Search Algorithm for Solving Decentralized POMDPs Daniel Szer François Charpillet S. Zilberstein 64 218 0 04 Jul 2012
Decentralized Control of Cooperative Systems: Categorization and Complexity Analysis C. V. Goldman S. Zilberstein 70 285 0 30 Jun 2011
Learning Equilibria with Partial Information in Decentralized Wireless Networks L. Rose S. Perlaza S. Lasaulce Mérouane Debbah 69 103 0 14 Jun 2011
Efficient Solution Algorithms for Factored MDPs Carlos Guestrin D. Koller Ronald E. Parr Shobha Venkataraman 118 538 0 09 Jun 2011
Distributed Delayed Stochastic Optimization Alekh Agarwal John C. Duchi 123 626 0 28 Apr 2011
Spectral Analysis of Virus Spreading in Random Geometric Networks V. Preciado Ali Jadbabaie 95 43 0 01 Feb 2010