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Hootan Nakhost
Hootan Nakhost
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Year
Monte-Carlo exploration for deterministic planning
H Nakhost, M Müller
Twenty-First International Joint Conference on Artificial Intelligence, 2009
1292009
Action elimination and plan neighborhood graph search: Two algorithms for plan improvement
H Nakhost, M Müller
Twentieth International Conference on Automated Planning and Scheduling, 2010
612010
Resource-Constrained Planning: A Monte Carlo Random Walk Approach
H Nakhost, J Hoffmann, M Müller
61*
Interpretable sequence learning for COVID-19 forecasting
S Arik, CL Li, J Yoon, R Sinha, A Epshteyn, L Le, V Menon, S Singh, ...
Advances in Neural Information Processing Systems 33, 18807-18818, 2020
592020
Arvandherd: Parallel planning with a portfolio
R Valenzano, H Nakhost, M Müller, J Schaeffer, N Sturtevant
ECAI 2012, 786-791, 2012
452012
Planning via random walk-driven local search
F Xie, H Nakhost, M Müller
Twenty-Second International Conference on Automated Planning and Scheduling, 2012
312012
Arvand: the art of random walks
H Nakhost, M Müller, R Valenzano, F Xie
The, 15-16, 2011
202011
Learning and evaluating a differentially private pre-trained language model
S Hoory, A Feder, A Tendler, S Erell, A Peled-Cohen, I Laish, H Nakhost, ...
Findings of the Association for Computational Linguistics: EMNLP 2021, 1178-1189, 2021
162021
Improving local search for resource-constrained planning
H Nakhost, J Hoffmann, M Müller
International Symposium on Combinatorial Search 1 (1), 2010
162010
Towards a second generation random walk planner: an experimental exploration
H Nakhost, M Müller
Twenty-Third International Joint Conference on Artificial Intelligence, 2013
152013
A Theoretical Framework for Studying Random Walk Planning
H Nakhost, M Müller
92012
Formal verification of the IEEE 802.1 D spanning tree protocol using extended Rebeca
H Hojjat, H Nakhost, M Sirjani
Electronic Notes in Theoretical Computer Science 159, 139-154, 2006
92006
Arvandherd 2014
R Valenzano, H Nakhost, M Müller, J Schaeffer, N Sturtevant
The Eighth International Planning Competition. Description of Participant …, 2014
82014
Random Walk Planning: Theory, Practice, and Application
H Nakhost
University of Alberta (Canada), 2013
52013
A local Monte Carlo tree search approach in deterministic planning
F Xie, H Nakhost, M Müller
Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
52011
Action elimination and plan neighborhood graph search: Two algorithms for plan improvement-extended version
H Nakhost, M Müller
32010
Towards a theory of random walk planning: Regress factors, fair homogeneous graphs and extensions
H Nakhost, M Mueller
AI Communications 27 (4), 329-344, 2014
22014
Monte-carlo search for deterministic planning
H Makhost, M Muller
Association for the Advancement of Artificial Intelligence, 2010
12010
Integrating Module Checking and Deduction in a Formal Proof for the Perlman Spanning Tree Protocol (STP).
H Hojjat, H Nakhost, M Sirjani
J. Univers. Comput. Sci. 13 (13), 2076-2104, 2007
12007
Improving Local Search for Resource-Constrained Planning
M Mueller, J Hoffman, H Nakhost
2010
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