Nicolas Meuleau

33 papers A* 4A 7C 1Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Earth Observation Satellite Scheduling with Graph Neural Networks. CoRR Antoine Jacquet, Guillaume Infantes, Nicolas Meuleau, Emmanuel Benazera, Stéphanie Roussel, Vincent Baudoui, Jonathan Guerra
2014	J	`jnl`	A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains. CoRR Nicolas Meuleau, Emmanuel Benazera, Ronen I. Brafman, Eric A. Hansen, Mausam
2014	J	`jnl`	Learning to Cooperate via Policy Search. CoRR Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling
2013	J	`jnl`	Hierarchical Solution of Markov Decision Processes using Macro-actions CoRR Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier
2013	J	`jnl`	Learning Finite-State Controllers for Partially Observable Environments CoRR Nicolas Meuleau, Leonid Peshkin, Kee-Eung Kim, Leslie Pack Kaelbling
2013	J	`jnl`	Planning under Continuous Time and Resource Uncertainty: A Challenge for AI CoRR John L. Bresina, Richard Dearden, Nicolas Meuleau, Sailesh Ramakrishnan, David E. Smith, Richard Washington
2013	J	`jnl`	Solving POMDPs by Searching the Space of Finite Policies CoRR Nicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling, Anthony R. Cassandra
2012	J	`jnl`	Dynamic Programming for Structured Continuous Markov Decision Problems CoRR Zhengzhu Feng, Richard Dearden, Nicolas Meuleau, Richard Washington
2012	J	`jnl`	Optimal Limited Contingency Planning CoRR Nicolas Meuleau, David E. Smith
2009	J	`jnl`	A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains. J. Artif. Intell. Res. Nicolas Meuleau, Emmanuel Benazera, Ronen I. Brafman, Eric A. Hansen, Mausam
2009	C	`conf`	An Emergency Landing Planner for Damaged Aircraft. IAAI Nicolas Meuleau, Christian Plaunt, David E. Smith, Tristan B. Smith
2007	A*	`conf`	Hierarchical Heuristic Forward Search in Stochastic Domains. IJCAI Nicolas Meuleau, Ronen I. Brafman
2006	A*	`conf`	Stochastic Over-Subscription Planning Using Hierarchies of MDPs. ICAPS Nicolas Meuleau, Ronen I. Brafman, Emmanuel Benazera
2005	A*	`conf`	Planning with Continuous Resources in Stochastic Domains. IJCAI Mausam, Emmanuel Benazera, Ronen I. Brafman, Nicolas Meuleau, Eric A. Hansen
2004	A	`conf`	Dynamic Programming for Structured Continuous Markov Decision Problems. UAI Zhengzhu Feng, Richard Dearden, Nicolas Meuleau, Richard Washington
2004	J	`jnl`	Model-Based Search for Combinatorial Optimization: A Critical Survey. Ann. Oper. Res. Mark Zlochin, Mauro Birattari, Nicolas Meuleau, Marco Dorigo
2003	A	`conf`	Optimal Limited Contingency Planning. UAI Nicolas Meuleau, David E. Smith
2002	J	`jnl`	Ant Colony Optimization and Stochastic Gradient Descent. Artif. Life Nicolas Meuleau, Marco Dorigo
2002	—	`conf`	Planning Under Continuous Time and Resource Uncertainty: A Challenge for AI. AIPS Workshop on Planning for Temporal Domains John L. Bresina, Richard Dearden, Nicolas Meuleau, David E. Smith, Richard Washington
2002	A	`conf`	Planning under Continuous Time and Resource Uncertainty: A Challenge for AI. UAI John L. Bresina, Richard Dearden, Nicolas Meuleau, Sailesh Ramakrishnan, David E. Smith, Richard Washington
2002	—	`conf`	Updating ACO Pheromones Using Stochastic Gradient Ascent and Cross-Entropy Methods. EvoWorkshops Marco Dorigo, Mark Zlochin, Nicolas Meuleau, Mauro Birattari
2001	J	`jnl`	A Model of Partially Observable State Game and its Optimality. Appl. Intell. Matteo Golfarelli, Nicolas Meuleau
2001	J	`jnl`	Learning Policies with External Memory CoRR Leonid Peshkin, Nicolas Meuleau, Leslie Pack Kaelbling
2001	J	`jnl`	Learning to Cooperate via Policy Search CoRR Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling
2000	—	`conf`	Approximate Solutions to Factored Markov Decision Processes via Greedy Search in the Space of Finite State Controllers. AIPS Kee-Eung Kim, Thomas L. Dean, Nicolas Meuleau
2000	A	`conf`	Learning to Cooperate via Policy Search. UAI Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling
1999	J	`jnl`	Exploration of Multi-State Environments: Local Measures and Back-Propagation of Uncertainty. Mach. Learn. Nicolas Meuleau, Paul Bourgine
1999	A	`conf`	Learning Finite-State Controllers for Partially Observable Environments. UAI Nicolas Meuleau, Leonid Peshkin, Kee-Eung Kim, Leslie Pack Kaelbling
1999	A*	`conf`	Learning Policies with External Memory. ICML Leonid Peshkin, Nicolas Meuleau, Leslie Pack Kaelbling
1999	A	`conf`	Solving POMDPs by Searching the Space of Finite Policies. UAI Nicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling, Anthony R. Cassandra
1998	A	`conf`	Hierarchical Solution of Markov Decision Processes using Macro-actions. UAI Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier
1998	—	`conf`	Solving Very Large Weakly Coupled Markov Decision Processes. AAAI/IAAI Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier
1995	—	`conf`	The Artificial Evolution of Cooperation. Artificial Evolution Nicolas Meuleau, Claude Lattaud