Eric A. Hansen
Eric A. Hansen
Dept. of Computer Science and Engineering, Mississippi State University
Verified email at cse.msstate.edu
TitleCited byYear
LAO*: A heuristic search algorithm that finds solutions with loops
EA Hansen, S Zilberstein
Artificial Intelligence 129 (1), 35-62, 2001
4952001
Dynamic programming for partially observable stochastic games
EA Hansen, DS Bernstein, S Zilberstein
19th National Conference on Artificial Intelligence (AAAI-04), 709-715, 2004
4462004
Breadth-first heuristic search
R Zhou, EA Hansen
Artificial Intelligence 170 (4-5), 385-408, 2006
2762006
Solving POMDPs by searching in policy space
EA Hansen
14th Conference on Uncertainty in Artificial Intelligence (UAI-98), 211-219, 1998
2531998
Anytime heuristic search
EA Hansen, R Zhou
Journal of Artificial Intelligence Research 28, 267-297, 2007
2352007
Bounded policy iteration for decentralized POMDPs
DS Bernstein, EA Hansen, S Zilberstein
19th International Joint Conference on Artificial Intelligence (IJCAI-05), 52-57, 2005
1772005
Monitoring and control of anytime algorithms: A dynamic programming approach
EA Hansen, S Zilberstein
Artificial Intelligence 126 (1-2), 139-157, 2001
1552001
Dynamic programming for POMDPs using a factored state representation
EA Hansen, Z Feng
5th International Conference on AI Planning Systems (AIPS-2000), 130-139, 2000
1332000
Beam-stack search: Integrating backtracking with beam search
R Zhou, EA Hansen
15th Int. Conf. on Automated Planning and Scheduling (ICAPS-05), 90-98, 2005
1322005
An improved grid-based approximation algorithm for POMDPs
R Zhou, EA Hansen
17th International Joint Conf. on Artificial Intelligence (IJCAI-01), 707-716, 2001
1262001
Symbolic heuristic search for factored Markov decision processes
Z Feng, EA Hansen
18th National Conference on Artificial Intelligence (AAAI-02), 455-460, 2002
1122002
Structured duplicate detection in external-memory graph search
R Zhou, EA Hansen
19th National Conference on Artificial Intelligence (AAAI-04), 683-689, 2004
1042004
An improved policy iteration algorithm for partially observable MDPs
EA Hansen
Advances in Neural Information Processing Systems 10 (NIPS-97), 1015-1021, 1998
981998
Policy iteration for decentralized control of Markov decision processes
DS Bernstein, C Amato, EA Hansen, S Zilberstein
Journal of Artificial Intelligence Research 34 (1), 89-132, 2009
952009
Finite-memory control of partially observable systems
EA Hansen
PhD Thesis, University of Massachusetts/Amherst, 1998
801998
Multiple sequence alignment using Anytime A*
R Zhou, EA Hansen
18th National Conference on Artificial Intelligence (AAAI-02), 975-977, 2002
772002
Monitoring the progress of anytime problem-solving
EA Hansen, S Zilberstein
13th National Conference on Artificial Intelligence (AAAI-96), 1229-1234, 1996
751996
A heuristic search approach to planning with continuous resources in stochastic domains
N Meuleau, E Benazera, RI Brafman, EA Hansen, Mausam
Journal of Artificial Intelligence Research 34 (1), 27-59, 2009
632009
Synthesis of hierarchical finite-state controllers for POMDPs
EA Hansen, R Zhou
13th Int. Conf. on Automated Planning and Scheduling (ICAPS-03), 113-122, 2003
632003
Symbolic generalization for on-line planning
Z Feng, EA Hansen, S Zilberstein
19th conference on Uncertainty in Artificial Intelligence (UAI-03), 209-216, 2003
582003
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