Decentralized POMDPs

Taming Decentralized POMDPs: Towards efficient policy ... - Teamcore

Ranjit Nair, Milind Tambe, Makoto Yokoo, D. V. Pynadath, and S. Marsella. 2003. “Taming Decentralized POMDPs: Towards efficient policy computation for ...

What is Decentralized POMDP (Dec-POMDP) - Activeloop

Decentralized Partially Observable Markov Decision Processes (Dec-POMDPs) provide a framework for multi-agent decision-making in uncertain environments.

View of An Investigation into Mathematical Programming for Finite ...

... Decentralized Par-tially Observable Markov Decision Processes (DEC-POMDPs). Although DEC-POMDPSare a general and powerful modeling tool, solving them is a ...

Policy Evaluation in Decentralized POMDPs with Belief Sharing - arXiv

We propose a fully decentralized belief forming strategy that relies on individual updates and on localized interactions over a communication network.

Achieving goals in decentralized POMDPs - ACM Digital Library

Abstract. Coordination of multiple agents under uncertainty in the decentralized POMDP model is known to be NEXP-complete, even when the agents have a joint set ...

A Heuristic Search Algorithm for Solving Decentralized POMDPs

We present multi-agent A* (MAA*), the first complete and optimal heuristic search algorithm for solving decentralized partially-observable Markov decision ...

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

This work extends the Dec-POMDP model to the Decentralized Partially Observable Semi-Markov Decision Process (Dec-POSMDP) to take advantage of high-level ...

A Concise Introduction to Decentralized POMDPs

In particular, it focuses on the decentralized POMDP (Dec-POMDP) model, which is a general framework for modeling multiagent systems in settings that are both ...

Point-Based Policy Generation for Decentralized POMDPs - IFAAMAS

We conclude with a summary of the contributions and future work. 2. DECENTRALIZED POMDPS. We adopt here the DEC-POMDP framework and nota- tion [9], ...

A Concise Introduction to Decentralized POMDPs - Google Books

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

A Concise Introduction to Decentralized POMDPs (SpringerBriefs in ...

A Concise Introduction to Decentralized POMDPs (SpringerBriefs in Intelligent Systems) by Oliehoek, Frans A. A.; Amato, Christopher - ISBN 10: 3319289276 ...

Decentralized POMDPs - Frans Oliehoek

Frans A. Oliehoek. Decentralized POMDPs. In Marco Wiering and Martijn van Otterlo, editors, Reinforcement Learning: State of the Art, Adaptation, Learning, and ...

Implicatures and Nested Beliefs in Approximate Decentralized ...

Cite (ACL):: Adam Vogel, Christopher Potts, and Dan Jurafsky. 2013. Implicatures and Nested Beliefs in Approximate Decentralized-POMDPs. In Proceedings of the ...

Open Decentralized POMDPs - IEEE Xplore

We now present our model for planning in open multiagent systems. Definition 1. An open decentralized POMDP (Open Dec-. POMDP) for a population of n agents is a ...

Information Gathering in Decentralized POMDPs by Policy Graph ...

Computationally finding an optimal decentralized policy for a finite- horizon Dec-POMDP is NEXP-complete [4]. Exact algorithms for. Dec-POMDPs are usually based ...

Open Decentralized POMDPs - IEEE Computer Society

Experiments demonstrate that Open Dec-POMDP solutions compare favorably on different fire-fighting scenarios to standard Dec-POMDPs'. Open Decentralized ...

Rollout Sampling Policy Iteration for Decentralized POMDPs

We present decentralized rollout sampling pol- icy iteration (DecRSPI) — a new algorithm for multi-agent decision problems formalized as. DEC-POMDPs.

Achieving Goals in Decentralized POMDPs - CiteSeerX

The decentralized partially observable Markov decision process (DEC-POMDP) is a powerful and attractive way to model cooperative sequential multiagent decision ...

Information Gathering in Decentralized POMDPs by Policy Graph ...

This paper proposes the first heuristic algorithm for information gathering Dec-POMDPs, and empirically proves its effectiveness by solving problems an ...

Decentralized control of Partially Observable Markov Decision ...

Decentralized Partially Observable Markov Decision Processes (Dec-POMDPs) are general models for multi-robot coordination problems, but representing and ...