In this paper, we present a new class of algorithms for solving decentralized POMDPs, which we refer to as Joint. Equilibrium-based Search for Policies (JESP).

In this section, we show how we can exploit an anal- ogous optimality property in the multiagent case to perform more efficient construction of the optimal ...

Marsella. 2003. “Taming Decentralized POMDPs: Towards efficient policy computation for multiagent settings .” In International Joint conference on Artificial ...

Taming decentralized POMDPs: towards efficient policy computation for multiagent settings. Theory of computation · Design and analysis of algorithms · Algorithm ...

The loss due to decentralization is bounded, and we give a sufficient condition for when it is zero. Our results allow application of any Dec-POMDP solution ...

Taming Decentralized POMDPs: Towards Efficient Policy Computation for Multiagent Settings. January 2003. Source; DBLP. Conference: IJCAI-03, Proceedings of the ...

This paper presents a new class of locally optimal algorithms called Joint Equilibrium-based search for policies (JESP).

“Taming Decentralized POMDPs Towards Efficient Policy Computation for Multiagent Settings” by Makoto Yokoo, Ranjit Nair, Stacy Marsella, Milind Tambe, ...

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.

Taming decentralized POMDPs: Towards efficient policy computation for multiagent settings. In. Proceedings of the Nineteenth International Joint. Conference ...