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Scalable Planning and Learning for Multiagent POMDPs: Extended Version

4 April 2014

Papers citing "Scalable Planning and Learning for Multiagent POMDPs: Extended Version"

39 / 39 papers shown

Title
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review Chengmin Zhou Ville Kyrki Pasi Fränti Laura Ruotsalainen BDL AI4CE 121 0 0 12 May 2025
Sparse Mean Field Load Balancing in Large Localized Queueing Systems Anam Tahir Kai Cui Heinz Koeppl 87 0 0 20 Dec 2023
Factored Online Planning in Many-Agent POMDPs Maris F. L. Galesloot T. D. Simão Sebastian Junges Nils Jansen OffRL 55 2 0 18 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 82 10 0 15 Dec 2023
Assume-Guarantee Reinforcement Learning Milad Kazemi Mateo Perez Fabio Somenzi Sadegh Soudjani Ashutosh Trivedi Alvaro Velasquez OffRL 58 3 0 15 Dec 2023
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review Chengmin Zhou Chao Wang Haseeb Hassan H. Shah Bingding Huang Pasi Fränti 3DV 95 3 0 16 Jul 2023
Combining a Meta-Policy and Monte-Carlo Planning for Scalable Type-Based Reasoning in Partially Observable Environments Jonathon Schwartz H. Kurniawati Marcus Hutter OffRL LRM 67 0 0 09 Jun 2023
Learning Augmented, Multi-Robot Long-Horizon Navigation in Partially Mapped Environments A. Khanal Gregory J. Stein 71 0 0 29 Mar 2023
Unsupervised Active Visual Search with Monte Carlo planning under Uncertain Detections Francesco Taioli Francesco Giuliari Yiming Wang Riccardo Berra A. Castellini Alessio Del Bue Alessandro Farinelli Marco Cristani Francesco Setti 70 1 0 06 Mar 2023
Multiagent Inverse Reinforcement Learning via Theory of Mind Reasoning Haochen Wu Pedro Sequeira David Pynadath 84 14 0 20 Feb 2023
POMP++: Pomcp-based Active Visual Search in unknown indoor environments Francesco Giuliari A. Castellini Riccardo Berra Alessio Del Bue Alessandro Farinelli Marco Cristani Francesco Setti Yiming Wang 102 13 0 02 Jul 2021
Deep Multiagent Reinforcement Learning: Challenges and Directions Annie Wong Thomas Bäck Anna V. Kononova Aske Plaat AI4CE 116 98 0 29 Jun 2021
Scalable Anytime Planning for Multi-Agent MDPs Shushman Choudhury Jayesh K. Gupta Peter Morales Mykel J. Kochenderfer 38 15 0 12 Jan 2021
Decentralized Task and Path Planning for Multi-Robot Systems Yuxiao Chen Ugo Rosolia Aaron D. Ames 50 39 0 19 Nov 2020
Multi-Agent Decentralized Belief Propagation on Graphs Yitao Chen Deepanshu Vasal 29 1 0 06 Nov 2020
AI and Wargaming J. Goodman S. Risi Simon Lucas VLM 117 14 0 18 Sep 2020
POMP: Pomcp-based Online Motion Planning for active visual search in indoor environments Yiming Wang Francesco Giuliari Riccardo Berra A. Castellini Alessio Del Bue Alessandro Farinelli Marco Cristani Francesco Setti 43 9 0 17 Sep 2020
Decentralized MCTS via Learned Teammate Models A. Czechowski F. Oliehoek 451 19 0 19 Mar 2020
Barrier Functions for Multiagent-POMDPs with DTL Specifications M. Ahmadi Andrew W. Singletary J. W. Burdick Aaron D. Ames 97 14 0 19 Mar 2020
Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems S. Asghari Ouyang Yi A. Nayyar 50 11 0 27 Jan 2020
Artificial Intelligence for Low-Resource Communities: Influence Maximization in an Uncertain World A. Yadav 15 1 0 03 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kai Zhang Zhuoran Yang Tamer Basar 233 1,232 0 24 Nov 2019
Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Object Hoa Van Nguyen Hamid Rezatofighi B. Vo Damith C. Ranasinghe 64 19 0 22 Nov 2019
Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems A. Eck Maulik Shah Prashant Doshi Leen-Kiat Soh 70 19 0 20 Nov 2019
MAPEL: Multi-Agent Pursuer-Evader Learning using Situation Report Sagar Verma Richa Verma P. B. Sujit 37 1 0 17 Oct 2019
Online Planning for Decentralized Stochastic Control with Partial History Sharing Kai Zhang Erik Miehling Tamer Basar 72 14 0 06 Aug 2019
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence Yuhang Song Andrzej Wojcicki Thomas Lukasiewicz Jianyi Wang Abi Aryan Zhenghua Xu Mai Xu Zihan Ding Lianlong Wu AI4CE ELM 116 34 0 17 May 2019
Safe Policy Synthesis in Multi-Agent POMDPs via Discrete-Time Barrier Functions M. Ahmadi Andrew W. Singletary J. W. Burdick Aaron D. Ames 88 69 0 19 Mar 2019
Analysing Factorizations of Action-Value Networks for Cooperative Multi-Agent Reinforcement Learning Jacopo Castellini F. Oliehoek Rahul Savani Shimon Whiteson 52 3 0 20 Feb 2019
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies Thomy Phan Kyrill Schmid Lenz Belzner Thomas Gabor Sebastian Feld Claudia Linnhoff-Popien 36 5 0 25 Jan 2019
Towards a Decentralized, Autonomous Multiagent Framework for Mitigating Crop Loss Roi Ceren Shannon P. Quinn Glen Raines OffRL 16 0 0 07 Jan 2019
Optimal Decision-Making in Mixed-Agent Partially Observable Stochastic Environments via Reinforcement Learning Roi Ceren 8 0 0 04 Jan 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 119 569 0 12 Oct 2018
Learning in POMDPs with Monte Carlo Tree Search Sammie Katt F. Oliehoek Chris Amato 78 67 0 14 Jun 2018
Reinforcement Learning for Heterogeneous Teams with PALO Bounds Roi Ceren Prashant Doshi Keyang He 21 0 0 23 May 2018
Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation Thomy Phan Lenz Belzner Thomas Gabor Kyrill Schmid OffRL 60 15 0 17 Apr 2018
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 156 640 0 02 Nov 2017
Scaling POMDPs For Selecting Sellers in E-markets-Extended Version Athirai Aravazhi Irissappane F. Oliehoek Jie Zhang 13 1 0 30 Nov 2015
Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs (Extended Version) P. Robbel F. Oliehoek Mykel J. Kochenderfer 71 29 0 29 Nov 2015