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Policy Search for Multi-Robot Coordination under Uncertainty

https://doi.org/10.15607/rss.2015.xi.007

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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An Optimal Best-First Search Algorithm for Solving Infinite Horizon DEC-POMDPs

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Optimizing fixed-size stochastic controllers for POMDPs and decentralized POMDPs

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Planning and acting in partially observable stochastic domains

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Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning

inferredcites →https://doi.org/10.1109/70.681242openalex-snapshot

ALLIANCE: an architecture for fault tolerant multirobot cooperation

inferredcites →https://doi.org/10.1109/cdc.2004.1428622openalex-snapshot

Automatic synthesis of multi-agent motion tasks based on LTL specifications

inferredcites →https://doi.org/10.1109/cdc.2013.6760239openalex-snapshot

Decentralized control of partially observable Markov decision processes

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Navigation among movable obstacles: real-time reasoning in complex environments

inferredcites →https://doi.org/10.1109/icra.2012.6224917openalex-snapshot

Decentralized multi-robot cooperation with auctioned POMDPs

inferredcites →https://doi.org/10.1109/icra.2015.7139350openalex-snapshot

Planning for decentralized control of multiple robots under uncertainty

inferredcites →https://doi.org/10.1109/icra.2015.7140035openalex-snapshot

Decentralized control of Partially Observable Markov Decision Processes using belief space macro-actions

inferredcites →https://doi.org/10.1109/iros.2003.1249210openalex-snapshot

A comparative study between centralized, market-based, and behavioral multirobot coordination approaches

inferredcites →https://doi.org/10.1109/robot.2004.1308930openalex-snapshot

Value-based action selection for exploration and dynamic target observation with robot teams

inferredcites →https://doi.org/10.1109/robot.2005.1570273openalex-snapshot

Game Theoretic Control for Robot Teams

inferredcites →https://doi.org/10.1109/robot.2005.1570274openalex-snapshot

Hoplites: A Market-Based Framework for Planned Tight Coordination in Multirobot Teams

inferredcites →https://doi.org/10.1142/s0219843605000545openalex-snapshot

NAVIGATION AMONG MOVABLE OBSTACLES: REAL-TIME REASONING IN COMPLEX ENVIRONMENTS

inferredcites →https://doi.org/10.1177/0278364904045564openalex-snapshot

A Formal Analysis and Taxonomy of Task Allocation in Multi-Robot Systems

inferredcites →https://doi.org/10.1177/0278364914528255openalex-snapshot

Integrated perception and planning in the continuous space: A POMDP approach

inferredcites →https://doi.org/10.1287/moor.27.4.819.297openalex-snapshot

The Complexity of Decentralized Control of Markov Decision Processes

inferredcites →https://doi.org/10.1613/jair.2667openalex-snapshot

Policy Iteration for Decentralized Control of Markov Decision Processes

inferredcites →https://doi.org/10.2307/1269932openalex-snapshot

Markov Decision Processes: Discrete Stochastic Dynamic Programming

inferredcites →https://doi.org/10.2307/2291177openalex-snapshot

Markov Decision Processes: Discrete Stochastic Dynamic Programming.

inferredcites →https://doi.org/10.48550/arxiv.1502.06030openalex-snapshot

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

inferredcites →https://doi.org/10.5555/1838206.1838377openalex-snapshot

Point-based policy generation for decentralized POMDPs

inferredcites →https://doi.org/10.65109/eoxg1498openalex-snapshot

Planning with macro-actions in decentralized POMDPs

inferredcites →https://doi.org/10.65109/nfsk7063openalex-snapshot

Achieving goals in decentralized POMDPs

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Synthesizing Controller for Unsynthesizable Specification Based on Safety Levels

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UAV Using Dec-POMDP Model for Increasing the Level of Security in the Company

inferred← citeshttps://doi.org/10.1109/icra.2016.7487751openalex-snapshot

Graph-based Cross Entropy method for solving multi-robot decentralized POMDPs

inferred← citeshttps://doi.org/10.1109/icra.2017.7989106openalex-snapshot

Scalable accelerated decentralized multi-robot policy search in continuous observation spaces

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Semantic-level decentralized multi-robot decision-making using probabilistic macro-observations

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Modeling user expertise for choosing levels of shared autonomy

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Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems

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Multi-robot decentralized belief space planning in unknown environments via efficient re-evaluation of impacted paths

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Learning for multi-robot cooperation in partially observable stochastic environments with macro-actions

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Simultaneous Task Allocation and Planning Under Uncertainty

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A System Dynamics Model for Capacity Planning of Component Supply in Complex Product Manufacturing

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Decision Making in Multiagent Systems: A Survey

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Partially Observable Markov Decision Processes in Robotics: A Survey

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A Framework for Simultaneous Task Allocation and Planning under Uncertainty

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Decentralized control of multi-robot partially observable Markov decision processes using belief space macro-actions

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Asynchronous multi-agent deep reinforcement learning under partial observability

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Improving Multi-Robot Behavior Using Learning-Based Receding Horizon Task Allocation

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NH-TTC: A gradient-based framework for generalized anticipatory collision avoidance

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Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic Environments

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Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPs

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Dual Formulations for Optimizing Dec-POMDP Controllers

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Approximating the Value of Collaborative Team Actions for Efficient Multiagent Navigation in Uncertain Graphs

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Modeling and Planning with Macro-Actions in Decentralized POMDPs

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Optimally Solving Dec-POMDPs as Continuous-State MDPs

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Collaborative human-machine interfaces for mobile manipulators.

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AN EVALUATION OF MULTI-ROBOT SYSTEMS EXPLORATION ALGORITHMS

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De-Centralized Multi Robot Co-Ordination and Communication

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Decision-Making Under Uncertainty in Multi-Agent and Multi-Robot Systems: Planning and Learning

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Optimal synchronization control of multiple euler-lagrange systems via event-triggered reinforcement learning

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Macro-Action-Based Deep Multi-Agent Reinforcement Learning

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Multi-Robot Human Guidance: Human Experiments and Multiple Concurrent Requests

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