Towards Computing Optimal Policies for Decentralized POMDPs

Towards Computing Optimal Policies for Decentralized POMDPs. R. Nair, M. Tambe. Computer Science Department. University of Southern California. Los Angeles CA ...

(PDF) Towards computing optimal policies for decentralized pomdps

We define a class of algorithms which we refer to as "Joint Equilibrium-based Search for Poli-cies"(JESP) and describe an exhaustive algorithm and a dynamic ...

Towards Computing Optimal Policies for Decentralized POMDPs. R. Nair, M ... decentralized partially observ- able Markov decision process (DEC-POMDP).

Towards Efficient Policy Computation for Multiagent Settings - IJCAI

Finding optimal poli- cies for decentralized POMDPs is NEXP-complete [Bern- stein et al, 2000]. In contrast, solving a POMDP is PSPACE- complete [Papadimitriou ...

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

Taming Decentralized POMDPs: Towards efficient policy computation for multiagent settings ... This paper presents a new class of locally optimal algorithms ...

Towards Efficient Policy Computation for Multiagent Settings

Yet, despite the growing importance and applications of decentralized POMDP models in the multiagents arena, few algorithms have been developed for efficiently ...

Taming decentralized POMDPs - ACM Digital Library

Taming decentralized POMDPs: towards efficient policy computation for multiagent settings ... optimal brute-force search algorithm. Finally, we prove piece ...

[PDF] Taming Decentralized POMDPs: Towards Efficient Policy ...

A new class of locally optimal algorithms called Joint Equilibrium-based search for policies (JESP) is presented, and piece-wise linear and convexity (PWLC) ...

Point-Based Policy Generation for Decentralized POMDPs - IFAAMAS

Then, top- down heuristics are selected from the portfolio to compute a set of reachable belief states. Finally, the best joint policies for these belief states ...

Bounded Dynamic Programming for Decentralized POMDPs

mation to the optimal joint policy for any initial ... Taming decentralized POMDPs: Towards efficient policy computation for multiagent settings.

Policy Iteration for Decentralized Control of Markov Decision ... - arXiv

... optimal policy iteration algorithm for solving DEC-POMDPs. The algorithm uses stochastic finite-state controllers to represent policies. The ...

Solving Finite Horizon Decentralized POMDPs by Distributed ...

Furthermore, the task of computing optimal policies in Dec-POMDPs has seldom ... Taming decentralized pomdps: Towards efficient policy computation for multiagent ...

Decentralized POMDPs - Frans A. Oliehoek

... to compute the best-response policy for a selected agent i. In essence, fixing π−i allows for a reformulation of the problem as an augmented POMDP. In this ...

Optimally Solving Dec-POMDPs as Continuous-State MDPs

function while executing policies that depend on solely each agent's own histories. Due to this decentralized nature of in- formation, Dec-POMDPs cannot ...

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

Also, they introduced a backup operator that can circum- vent the exhaustive enumeration of all joint decision rules using mixed-integer linear programs. To ...

Optimal and Approximate Q-value Functions for Decentralized ...

In single-agent frameworks like MDPs and POMDPs, planning can be carried out by resorting to Q-value functions: an optimal Q-value function Q* ...

Question About Optimal Policy Guarantees in POMDPs - Reddit

I have used this book before : A Concise Introduction to Decentralized POMDPs (Frans A. Oliehoek). I don't remember seeing a proof for what ...

Planning with Macro-Actions in Decentralized POMDPs

In the finite-horizon case, the discount factor, γ, is typically set to 1. An optimal policy beginning at state s is π∗(s) = argmaxπV π(s). Solving Dec-POMDPs ...

Decentralized POMDPs - SpringerLink

Also, it discusses how these relate to the optimal Q-value function of a Dec-POMDP. ... decentralized POMDPs: Towards efficient policy computation for multiagent ...

Optimal and Approximate Q-value Functions for Decentralized ...

... POMDPs), and how policies can be extracted from such value functions. ... The goal here is to find optimal strategies for the agents, that specify how ...