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ORCIDNicolas Meuleau
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2020 – today
- 2024
[i11]Antoine Jacquet, Guillaume Infantes, Nicolas Meuleau, Emmanuel Benazera, Stéphanie Roussel, Vincent Baudoui, Jonathan Guerra:
Earth Observation Satellite Scheduling with Graph Neural Networks. CoRR abs/2408.15041 (2024)
2010 – 2019
- 2014
- [i10]Nicolas Meuleau, Emmanuel Benazera, Ronen I. Brafman, Eric A. Hansen, Mausam:
A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains. CoRR abs/1401.3428 (2014) - [i9]Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling:
Learning to Cooperate via Policy Search. CoRR abs/1408.1484 (2014) - 2013
- [i8]John L. Bresina, Richard Dearden, Nicolas Meuleau, Sailesh Ramakrishnan, David E. Smith, Richard Washington:
Planning under Continuous Time and Resource Uncertainty: A Challenge for AI. CoRR abs/1301.0559 (2013) - [i7]Nicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling, Anthony R. Cassandra:
Solving POMDPs by Searching the Space of Finite Policies. CoRR abs/1301.6720 (2013) - [i6]Nicolas Meuleau, Leonid Peshkin, Kee-Eung Kim, Leslie Pack Kaelbling:
Learning Finite-State Controllers for Partially Observable Environments. CoRR abs/1301.6721 (2013) - [i5]Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier:
Hierarchical Solution of Markov Decision Processes using Macro-actions. CoRR abs/1301.7381 (2013) - 2012
- [i4]Zhengzhu Feng, Richard Dearden, Nicolas Meuleau, Richard Washington:
Dynamic Programming for Structured Continuous Markov Decision Problems. CoRR abs/1207.4115 (2012) - [i3]Nicolas Meuleau, David E. Smith:
Optimal Limited Contingency Planning. CoRR abs/1212.2502 (2012)
2000 – 2009
- 2009
- [j5]Nicolas Meuleau, Emmanuel Benazera, Ronen I. Brafman, Eric A. Hansen, Mausam
:
A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains. J. Artif. Intell. Res. 34: 27-59 (2009) - [c17]Nicolas Meuleau, Christian Plaunt, David E. Smith, Tristan B. Smith:
An Emergency Landing Planner for Damaged Aircraft. IAAI 2009 - 2007
- [c16]Nicolas Meuleau, Ronen I. Brafman:
Hierarchical Heuristic Forward Search in Stochastic Domains. IJCAI 2007: 2542-2549 - 2006
- [c15]Nicolas Meuleau, Ronen I. Brafman, Emmanuel Benazera:
Stochastic Over-Subscription Planning Using Hierarchies of MDPs. ICAPS 2006: 121-130 - 2005
- [c14]Mausam, Emmanuel Benazera, Ronen I. Brafman, Nicolas Meuleau, Eric A. Hansen:
Planning with Continuous Resources in Stochastic Domains. IJCAI 2005: 1244-1251 - 2004
- [j4]Mark Zlochin, Mauro Birattari, Nicolas Meuleau, Marco Dorigo:
Model-Based Search for Combinatorial Optimization: A Critical Survey. Ann. Oper. Res. 131(1-4): 373-395 (2004) - [c13]Zhengzhu Feng, Richard Dearden, Nicolas Meuleau, Richard Washington:
Dynamic Programming for Structured Continuous Markov Decision Problems. UAI 2004: 154-161 - 2003
- [c12]Nicolas Meuleau, David E. Smith:
Optimal Limited Contingency Planning. UAI 2003: 417-426 - 2002
- [j3]Nicolas Meuleau, Marco Dorigo:
Ant Colony Optimization and Stochastic Gradient Descent. Artif. Life 8(2): 103-121 (2002) - [c11]John L. Bresina, Richard Dearden, Nicolas Meuleau, David E. Smith, Richard Washington:
Planning Under Continuous Time and Resource Uncertainty: A Challenge for AI. AIPS Workshop on Planning for Temporal Domains 2002: 91-97 - [c10]Marco Dorigo, Mark Zlochin, Nicolas Meuleau, Mauro Birattari:
Updating ACO Pheromones Using Stochastic Gradient Ascent and Cross-Entropy Methods. EvoWorkshops 2002: 21-30 - [c9]John L. Bresina, Richard Dearden, Nicolas Meuleau, Sailesh Ramakrishnan, David E. Smith, Richard Washington:
Planning under Continuous Time and Resource Uncertainty: A Challenge for AI. UAI 2002: 77-84 - 2001
- [j2]Matteo Golfarelli, Nicolas Meuleau:
A Model of Partially Observable State Game and its Optimality. Appl. Intell. 14(3): 273-284 (2001) - [i2]Leonid Peshkin, Nicolas Meuleau, Leslie Pack Kaelbling:
Learning Policies with External Memory. CoRR cs.LG/0103003 (2001) - [i1]Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling:
Learning to Cooperate via Policy Search. CoRR cs.LG/0105032 (2001) - 2000
- [c8]Kee-Eung Kim, Thomas L. Dean, Nicolas Meuleau:
Approximate Solutions to Factored Markov Decision Processes via Greedy Search in the Space of Finite State Controllers. AIPS 2000: 323-330 - [c7]Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling:
Learning to Cooperate via Policy Search. UAI 2000: 489-496
1990 – 1999
- 1999
- [j1]Nicolas Meuleau, Paul Bourgine:
Exploration of Multi-State Environments: Local Measures and Back-Propagation of Uncertainty. Mach. Learn. 35(2): 117-154 (1999) - [c6]Leonid Peshkin, Nicolas Meuleau, Leslie Pack Kaelbling:
Learning Policies with External Memory. ICML 1999: 307-314 - [c5]Nicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling, Anthony R. Cassandra:
Solving POMDPs by Searching the Space of Finite Policies. UAI 1999: 417-426 - [c4]Nicolas Meuleau, Leonid Peshkin, Kee-Eung Kim, Leslie Pack Kaelbling:
Learning Finite-State Controllers for Partially Observable Environments. UAI 1999: 427-436 - 1998
- [c3]Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier:
Solving Very Large Weakly Coupled Markov Decision Processes. AAAI/IAAI 1998: 165-172 - [c2]Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier:
Hierarchical Solution of Markov Decision Processes using Macro-actions. UAI 1998: 220-229 - 1995
- [c1]Nicolas Meuleau, Claude Lattaud:
The Artificial Evolution of Cooperation. Artificial Evolution 1995: 159-180
Coauthor Index
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