Bounded Policy Iteration for Decentralized POMDPs

Bounded Policy Iteration for Decentralized POMDPs - IJCAI

We present a bounded policy iteration algorithm for infinite-horizon decentralized POMDPs. Policies are represented as joint stochastic finite-state con-.

Bounded policy iteration for decentralized POMDPs

The algorithm uses a fixed amount of memory, and each iteration is guaranteed to produce a controller with value at least as high as the previous one for all ...

Bounded Policy Iteration for Decentralized POMDPs - ResearchGate

A new policy representation allows us to represent solutions compactly. The key benefits of the algorithm are its linear time complexity over the number of ...

[PDF] Bounded Policy Iteration for Decentralized POMDPs

A bounded policy iteration algorithm for infinite-horizon decentralized POMDPs is presented, which uses a fixed amount of memory, and each iteration is ...

Policy Iteration for Decentralized Control of Markov Decision ...

The bounded policy iteration algorithm for DEC-POMDPs (Bern- stein et al., 2005), which extends a POMDP algorithm proposed by Poupart and Boutilier. (2003) ...

Point-Based Bounded Policy Iteration for Decentralized POMDPs

We present a memory-bounded approximate algorithm for solving infinite-horizon decentralized partially observable Markov decision processes (DEC-POMDPs).

Bounded Dynamic Programming for Decentralized POMDPs

Zilberstein. Bounded policy iteration for decentralized POMDPs. In. Proceedings of the Nineteenth International Joint. Conference on Artificial Intelligence, ...

Point-based bounded policy iteration for decentralized POMDPs

Recommendations · Policy iteration for bounded-parameter POMDPs. POMDP is considered as a basic model for decision making under uncertainty. · Point-based value ...

Point-Based Bounded Policy Iteration for Decentralized POMDPs

We present a memory-bounded approximate algorithm for solving infinite-horizon decentralized partially observable Markov de- cision processes (DEC-POMDPs). In ...

Policy Iteration for Decentralized Control of Markov Decision ...

In 2005, we presented the bounded policy iteration for DEC-POMDPs (Bernstein et al., 2005), which extended a POMDP algorithm proposed by Poupart and Boutilier ( ...

Bounded Policy Iteration for Decentralized POMDPs. - DBLP

Bibliographic details on Bounded Policy Iteration for Decentralized POMDPs.

Sample Bounded Distributed Reinforcement Learning for ...

Wu, F.; Zilberstein, S.; and Chen, X. 2010. Rollout sampling policy iteration for decentralized POMDPs. In Proceedings of the 26th Conference on Uncertainty in ...

Generalized and Bounded Policy Iteration for Finitely-Nested ...

Al- though policy iteration has been extended to decentralized. POMDPs, the context there is strictly cooperative. Its gen- eralization here ...

Rollout Sampling Policy Iteration for Decentralized POMDPs

Similar to dynamic programming ap- proaches, policies are constructed from the last step back- wards. A new policy representation is used to bound the amount of ...

(PDF) Policy Iteration for Decentralized Control of Markov Decision ...

The main contribution of this paper is an optimal policy iteration algorithm for solving DEC-POMDPs. The algorithm uses stochastic finite-state controllers to ...

Memory-Bounded Dynamic Programming for DEC-POMDPs - IJCAI

Hansen, and. Shlomo Zilberstein. Bounded Policy Iteration for Decentralized. POMDPs. In Proceedings of the Nineteenth International Joint. Conference on ...

Rollout Sampling Policy Iteration for Decentralized POMDPs - arXiv

The algorithm uses Monte- Carlo methods to generate a sample of reachable belief states. Then it computes a joint policy for each belief state ...

Sample-Based Policy Iteration for Constrained DEC-POMDPs

... Policy Iteration (SBPI) for solving constrained DEC-POMDPs. ... Hansen, and Shlomo Zilberstein, 'Bounded policy iteration for decentralized pomdps', in Proc.

Point Based Value Iteration with Optimal Belief Compression for Dec ...

This paper presents four major results towards solving decentralized partially observable Markov decision problems (DecPOMDPs)

Decentralized POMDPs - Frans A. Oliehoek

MDPs and POMDPs: we identify an optimal value function Q∗ that can be used to ... Bounded policy iteration for decentralized. POMDPs. In: Proc. of the ...