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Policy Iteration for Decentralized Control of Markov Decision Processes



Daniel S. Bernstein , Christopher Amato , Eric A. Hansen , Shlomo Zilberstein

* Journal Of Artificial Intelligence Research, Volume 34, pages 89-132, 2009 

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A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains



Nicolas Meuleau , Emmanuel Benazera , Ronen I. Brafman , Eric A. Hansen , Mausam

* Journal Of Artificial Intelligence Research, Volume 34, pages 27-59, 2009 

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Solving Limited-Memory Influence Diagrams Using Branch-and-Bound Search



Arindam Khaled , Eric A. Hansen , Changhe Yuan

* Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013) 

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Solving POMDPs by Searching in Policy Space



Eric A. Hansen

* Appears in Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI1998) 

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Symbolic Generalization for On-line Planning



Zhengzhu Feng , Eric A. Hansen , Shlomo Zilberstein

* Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003) 

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Sparse Stochastic Finite-State Controllers for POMDPs



Eric A. Hansen

* Appears in Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI2008) 

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Solving Multistage Influence Diagrams using Branch-and-Bound Search



Changhe Yuan , Xiaojian Wu , Eric A. Hansen

* Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010) 

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Suboptimality Bounds for Stochastic Shortest Path Problems



Eric A. Hansen


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Improving the Scalability of Optimal Bayesian Network Learning with External-Memory Frontier Breadth-First Branch and Bound Search



Brandon Malone , Changhe Yuan , Eric A. Hansen , Susan Bridges


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