Decentralized Control of Partially Observable Markov Decision Processes using Belief Space Macro-actions

20 February 2015

Chris Amato

Ali-akbar Agha-mohammadi

A. Geramifard

N. K. Üre

ArXiv (abs)PDF HTML

Papers citing "Decentralized Control of Partially Observable Markov Decision Processes using Belief Space Macro-actions"

24 / 24 papers shown

Title
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration Chao Yu Xinyi Yang Jiaxuan Gao Jiayu Chen Yunfei Li ... Yunfei Xiang Rui Huang Huazhong Yang Yi Wu Yu Wang 68 38 0 09 Jan 2023
AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning A. Rahman Arnab Bhattacharya Thiagarajan Ramachandran Sayak Mukherjee Himanshu Sharma Ted Fujimoto Samrat Chatterjee 60 6 0 20 Dec 2022
Partially Observable Markov Decision Processes in Robotics: A Survey M. Lauri David Hsu Joni Pajarinen 144 107 0 21 Sep 2022
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming Rohan R. Paleja Muyleng Ghuy Nadun R. Arachchige Reed Jensen Matthew C. Gombolay 134 65 0 08 Sep 2022
Multi-Agent Algorithms for Collective Behavior: A structural and application-focused atlas Federico Rossi Saptarshi Bandyopadhyay Michael T. Wolf Marco Pavone 66 17 0 20 Mar 2021
Multiagent Rollout and Policy Iteration for POMDP with Application to Multi-Robot Repair Problems Sushmita Bhattacharya Siva Kailas Sahil Badyal Stephanie Gil Dimitri Bertsekas 68 25 0 09 Nov 2020
Multi-Agent Safe Planning with Gaussian Processes Zheqing Zhu Erdem Biyik Dorsa Sadigh 57 19 0 10 Aug 2020
The Shapeshifter: a Morphing, Multi-Agent,Multi-Modal Robotic Platform for the Exploration of Titan (preprint version) Ali-akbar Agha-mohammadi Andrea Tagliabue S. Schneider B. Morrell Marco Pavone ... I. Nesnas R. Amini A. Kalantari A. Babuscia J. Lunine 57 8 0 16 Mar 2020
Experiments with Tractable Feedback in Robotic Planning under Uncertainty: Insights over a wide range of noise regimes (Extended Report) M. Mohamed S. Chakravorty Dylan A. Shell 43 0 0 21 Feb 2020
Reinforcement Learning for POMDP: Partitioned Rollout and Policy Iteration with Application to Autonomous Sequential Repair Problems Sushmita Bhattacharya Sahil Badyal Thomas Wheeler Stephanie Gil Dimitri Bertsekas 85 34 0 11 Feb 2020
Social diversity and social preferences in mixed-motive reinforcement learning Kevin R. McKee I. Gemp Brian McWilliams Edgar A. Duénez-Guzmán Edward Hughes Joel Z Leibo 95 85 0 06 Feb 2020
Option-Critic in Cooperative Multi-agent Systems Jhelum Chakravorty Nadeem Ward Julien Roy Maxime Chevalier-Boisvert Sumana Basu Andrei Lupu Doina Precup 72 30 0 28 Nov 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kai Zhang Zhuoran Yang Tamer Basar 233 1,230 0 24 Nov 2019
A Review of Reinforcement Learning for Autonomous Building Energy Management Karl Mason S. Grijalva AI4CE 74 224 0 12 Mar 2019
Intelligent Knowledge Distribution: Constrained-Action POMDPs for Resource-Aware Multi-Agent Communication Michael C. Fowler T. Clancy Ryan K. Williams 56 11 0 07 Mar 2019
Decentralized Cooperative Planning for Automated Vehicles with Hierarchical Monte Carlo Tree Search Karl Kurzer Chenyan Zhou Johann Marius Zöllner 49 37 0 25 Jul 2018
Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems T. Hoang Yuchen Xiao Kavinayan Sivakumar Chris Amato Jonathan P. How 43 10 0 17 Oct 2017
Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions Miao Liu Kavinayan Sivakumar Shayegan Omidshafiei Chris Amato Jonathan P. How 70 33 0 24 Jul 2017
Distributed Active State Estimation with User-Specified Accuracy Charles Freundlich Soomin Lee Michael M. Zavlanos 80 18 0 06 Jun 2017
Scalable Accelerated Decentralized Multi-Robot Policy Search in Continuous Observation Spaces Shayegan Omidshafiei Chris Amato Miao Liu Michael Everett Jonathan P. How J. Vian 41 5 0 16 Mar 2017
Semantic-level Decentralized Multi-Robot Decision-Making using Probabilistic Macro-Observations Shayegan Omidshafiei Shih‐Yuan Liu Michael Everett B. Lopez Chris Amato Miao Liu Jonathan P. How J. Vian 65 6 0 16 Mar 2017
Multi-Robot Active Information Gathering with Periodic Communication M. Lauri Eero Heinänen Simone Frintrop 73 19 0 07 Mar 2017
A Projective Simulation Scheme for Partially-Observable Multi-Agent Systems Rasoul Kheiri 41 0 0 29 Oct 2016
Scalable Planning and Learning for Multiagent POMDPs: Extended Version Chris Amato F. Oliehoek 142 94 0 04 Apr 2014