Planning with Macro|Actions in Decentralized POMDPs

Planning with Macro-Actions in Decentralized POMDPs

Decentralized partially observable Markov decision processes. (Dec-POMDPs) are general models for decentralized deci- sion making under uncertainty. However, ...

Modeling and Planning with Macro-Actions in Decentralized POMDPs

Decentralized partially observable Markov decision processes (Dec-POMDPs) are gen- eral models for decentralized multi-agent decision making under ...

Planning with Macro-Actions in Decentralized POMDPs

We address the case where each agent has macro-actions: temporally extended actions which may require different amounts of time to execute. We model macro- ...

Modeling and Planning with Macro-Actions in Decentralized POMDPs

Decentralized partially observable Markov decision processes (Dec-POMDPs) are general models for decentralized multi-agent decision making under uncertainty ...

Planning with macro-actions in decentralized POMDPs

We address the case where each agent has macro-actions: temporally extended actions which may require different amounts of time to execute. We model macro- ...

Modeling and planning with macro-actions in decentralized POMDPs

Modeling and planning with macro-actions in decentralized POMDPs · Contents. Journal of Artificial Intelligence Research. Volume 64, Issue 1 · PREVIOUS ARTICLE.

Modeling and Planning with Macro-Actions in Decentralized POMDPs

Abstract. Decentralized partially observable Markov decision processes (Dec-POMDPs) are general models for decentralized multi-agent decision ...

View of Modeling and Planning with Macro-Actions in Decentralized ...

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(PDF) Planning with Macro-Actions in Decentralized POMDPs

We address the case where each agent has macro-actions: temporally extended actions which may require different amounts of time to execute. We ...

Modeling and Planning with Macro-Actions in Decentralized POMDPs

We model macro-actions as options in a Dec-POMDP, focusing on actions that depend only on information directly available to the agent during execution.

Decentralized control of Partially Observable Markov Decision ...

Abstract: The focus of this paper is on solving multi-robot planning problems in continuous spaces with partial observability. Decentralized Partially ...

Planning for Decentralized Control of Multiple Robots Under ...

While Dec-POMDPs are typically intractable to solve for real-world problems, recent research on the use of macro-actions in Dec-POMDPs has significantly ...

Decentralized Control of Partially Observable Markov Decision ...

In discrete settings, recent work has extended the Dec-POMDP model to incorporate macro-actions which can be executed in an asynchronous manner [5]. In planning ...

Decentralized Control of Multi-Robot Partially Observable Markov ...

This work extends the Dec-POMDP model to the Decentralized Partially ... macro-actions in planning. The proposed algorithms are then evaluated on a ...

Decentralized POMDPs - Frans A. Oliehoek

2 Alternatively, each agent runs the same planning algorithm in parallel. Page 4. 4. Frans A. Oliehoek actions observations.

Decentralized POMDPs - SpringerLink

This chapter focuses on planning for Dec-POMDPs over a finite horizon. It covers the forward heuristic search approach to solving Dec-POMDPs, as well as the ...

A Concise Introduction to Decentralized POMDPs - Semantic Scholar

This book introduces multiagent planning under uncertainty as formalized by decentralized partially observable Markov decision processes (Dec-POMDPs).

Decentralized control of multi-robot partially observable Markov ...

Amato C, Konidaris GD, Kaelbling LP (2014) Planning with macro-actions in decentralized POMDPs. In: International conference on autonomous agents and ...

Sufficient Plan-Time Statistics for Decentralized POMDPs

A major obstacle is that the agents do not have access to a sufficient statistic during execution, which means that they need to base their actions on their ...

Optimally Solving Two-Agent Decentralized POMDPs Under One ...

From the central planner's perspective, public actions and observations allow us to move from non-observable oMDPs to partially observ- able ones, branching on ...