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[کتاب][B] A concise introduction to decentralized POMDPs
FA Oliehoek, C Amato - 2016 - Springer
This book presents an overview of formal decision making methods for decentralized
cooperative systems. It is aimed at graduate students and researchers in the fields of …
cooperative systems. It is aimed at graduate students and researchers in the fields of …
Multi-agent reinforcement learning as a rehearsal for decentralized planning
Decentralized partially observable Markov decision processes (Dec-POMDPs) are a
powerful tool for modeling multi-agent planning and decision-making under uncertainty …
powerful tool for modeling multi-agent planning and decision-making under uncertainty …
Decision making in multiagent systems: A survey
Intelligent transport systems, efficient electric grids, and sensor networks for data collection
and analysis are some examples of the multiagent systems (MAS) that cooperate to achieve …
and analysis are some examples of the multiagent systems (MAS) that cooperate to achieve …
Optimal and approximate Q-value functions for decentralized POMDPs
Decision-theoretic planning is a popular approach to sequential decision making problems,
because it treats uncertainty in sensing and acting in a principled way. In single-agent …
because it treats uncertainty in sensing and acting in a principled way. In single-agent …
Formal models and algorithms for decentralized decision making under uncertainty
Over the last 5 years, the AI community has shown considerable interest in decentralized
control of multiple decision makers or “agents” under uncertainty. This problem arises in …
control of multiple decision makers or “agents” under uncertainty. This problem arises in …
Decentralized pomdps
This chapter presents an overview of the decentralized POMDP (Dec-POMDP) framework. In
a Dec-POMDP, a team of agents collaborates to maximize a global reward based on local …
a Dec-POMDP, a team of agents collaborates to maximize a global reward based on local …
Online planning for multi-agent systems with bounded communication
We propose an online algorithm for planning under uncertainty in multi-agent settings
modeled as DEC-POMDPs. The algorithm helps overcome the high computational …
modeled as DEC-POMDPs. The algorithm helps overcome the high computational …
[PDF][PDF] Memory-Bounded Dynamic Programming for DEC-POMDPs.
Decentralized decision making under uncertainty has been shown to be intractable when
each agent has different partial information about the domain. Thus, improving the …
each agent has different partial information about the domain. Thus, improving the …
Improved memory-bounded dynamic programming for decentralized POMDPs
Memory-Bounded Dynamic Programming (MBDP) has proved extremely effective in solving
decentralized POMDPs with large horizons. We generalize the algorithm and improve its …
decentralized POMDPs with large horizons. We generalize the algorithm and improve its …
Policy iteration for decentralized control of Markov decision processes
Coordination of distributed agents is required for problems arising in many areas, including
multi-robot systems, networking and e-commerce. As a formal framework for such problems …
multi-robot systems, networking and e-commerce. As a formal framework for such problems …