Nicolas Meuleau

According to our database, Nicolas Meuleau authored at least 22 papers between 1995 and 2009.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2009

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

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

J. Artif. Intell. Res., 2009

An Emergency Landing Planner for Damaged Aircraft.

Nicolas Meuleau, Christian Plaunt, David E. Smith, Tristan B. Smith

Proceedings of the Twenty-First Conference on Innovative Applications of Artificial Intelligence, 2009

2007

Hierarchical Heuristic Forward Search in Stochastic Domains.

Nicolas Meuleau, Ronen I. Brafman

Proceedings of the IJCAI 2007, 2007

2006

Stochastic Over-Subscription Planning Using Hierarchies of MDPs.

Nicolas Meuleau, Ronen I. Brafman, Emmanuel Benazera

Proceedings of the Sixteenth International Conference on Automated Planning and Scheduling, 2006

2005

Planning with Continuous Resources in Stochastic Domains.

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

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

2004

Model-Based Search for Combinatorial Optimization: A Critical Survey.

Mark Zlochin, Mauro Birattari, Nicolas Meuleau, Marco Dorigo

Ann. Oper. Res., 2004

Dynamic Programming for Structured Continuous Markov Decision Problems.

Zhengzhu Feng, Richard Dearden, Nicolas Meuleau, Richard Washington

Proceedings of the UAI '04, 2004

2003

Optimal Limited Contingency Planning.

Nicolas Meuleau, David E. Smith

Proceedings of the UAI '03, 2003

2002

Ant Colony Optimization and Stochastic Gradient Descent.

Nicolas Meuleau, Marco Dorigo

Artif. Life, 2002

Planning under Continuous Time and Resource Uncertainty: A Challenge for AI.

John L. Bresina, Richard Dearden, Nicolas Meuleau, Sailesh Ramakrishnan, David E. Smith, Richard Washington

Proceedings of the UAI '02, 2002

Updating ACO Pheromones Using Stochastic Gradient Ascent and Cross-Entropy Methods.

Marco Dorigo, Mark Zlochin, Nicolas Meuleau, Mauro Birattari

Proceedings of the Applications of Evolutionary Computing, 2002

Planning Under Continuous Time and Resource Uncertainty: A Challenge for AI.

John L. Bresina, Richard Dearden, Nicolas Meuleau, David E. Smith, Richard Washington

Proceedings of the AIPS 2002 Workshop on Planning for Temporal Domains, 2002

2001

A Model of Partially Observable State Game and its Optimality.

Matteo Golfarelli, Nicolas Meuleau

Appl. Intell., 2001

2000

Learning to Cooperate via Policy Search.

Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Approximate Solutions to Factored Markov Decision Processes via Greedy Search in the Space of Finite State Controllers.

Kee-Eung Kim, Thomas L. Dean, Nicolas Meuleau

Proceedings of the Fifth International Conference on Artificial Intelligence Planning Systems, 2000

1999

Exploration of Multi-State Environments: Local Measures and Back-Propagation of Uncertainty.

Nicolas Meuleau, Paul Bourgine

Mach. Learn., 1999

Learning Finite-State Controllers for Partially Observable Environments.

Nicolas Meuleau, Leonid Peshkin, Kee-Eung Kim, Leslie Pack Kaelbling

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Solving POMDPs by Searching the Space of Finite Policies.

Nicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling, Anthony R. Cassandra

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Learning Policies with External Memory.

Leonid Peshkin, Nicolas Meuleau, Leslie Pack Kaelbling

Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998

Hierarchical Solution of Markov Decision Processes using Macro-actions.

Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Solving Very Large Weakly Coupled Markov Decision Processes.

Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1995

The Artificial Evolution of Cooperation.

Nicolas Meuleau, Claude Lattaud

Proceedings of the Artificial Evolution, European Conference, 1995