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

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

20 February 2015

Ali-akbar Agha-mohammadi

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

19 / 19 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 35 36 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 39 5 0 20 Dec 2022
Partially Observable Markov Decision Processes in Robotics: A Survey M. Lauri David Hsu Joni Pajarinen 71 98 0 21 Sep 2022
Off-Beat Multi-Agent Reinforcement Learning Wei Qiu Weixun Wang R. Wang Bo An Yujing Hu S. Obraztsova Zinovi Rabinovich Jianye Hao Yingfeng Chen Changjie Fan OffRL 33 2 0 27 May 2022
Multi-Agent Algorithms for Collective Behavior: A structural and application-focused atlas Federico Rossi Saptarshi Bandyopadhyay Michael T. Wolf Marco Pavone 14 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 22 24 0 09 Nov 2020
Where to Map? Iterative Rover-Copter Path Planning for Mars Exploration Takahiro Sasaki K. Otsu Rohan Thakker S. Haesaert Ali-akbar Agha-mohammadi 19 31 0 17 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 22 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 14 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 30 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 20 80 0 06 Feb 2020
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kaipeng Zhang Zhuoran Yang Tamer Basar 68 1,184 0 24 Nov 2019
Intelligent Knowledge Distribution: Constrained-Action POMDPs for Resource-Aware Multi-Agent Communication Michael C. Fowler T. Clancy Ryan K. Williams 24 11 0 07 Mar 2019
Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions Miao Liu Kavinayan Sivakumar Shayegan Omidshafiei Chris Amato Jonathan P. How 19 32 0 24 Jul 2017
Distributed Active State Estimation with User-Specified Accuracy Charles Freundlich Soomin Lee Michael M. Zavlanos 18 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 11 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 17 6 0 16 Mar 2017
Multi-Robot Active Information Gathering with Periodic Communication M. Lauri Eero Heinänen Simone Frintrop 26 19 0 07 Mar 2017
Scalable Planning and Learning for Multiagent POMDPs: Extended Version Chris Amato F. Oliehoek 46 94 0 04 Apr 2014