Nicolas Meuleau

According to our database1, Nicolas Meuleau authored at least 23 papers between 1995 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Earth Observation Satellite Scheduling with Graph Neural Networks.
CoRR, 2024

2009
A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains.
J. Artif. Intell. Res., 2009

An Emergency Landing Planner for Damaged Aircraft.
Proceedings of the Twenty-First Conference on Innovative Applications of Artificial Intelligence, 2009

2007
Hierarchical Heuristic Forward Search in Stochastic Domains.
Proceedings of the IJCAI 2007, 2007

2006
Stochastic Over-Subscription Planning Using Hierarchies of MDPs.
Proceedings of the Sixteenth International Conference on Automated Planning and Scheduling, 2006

2005
Planning with Continuous Resources in Stochastic Domains.
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.
Ann. Oper. Res., 2004

Dynamic Programming for Structured Continuous Markov Decision Problems.
Proceedings of the UAI '04, 2004

2003
Optimal Limited Contingency Planning.
Proceedings of the UAI '03, 2003

2002
Ant Colony Optimization and Stochastic Gradient Descent.
Artif. Life, 2002

Planning under Continuous Time and Resource Uncertainty: A Challenge for AI.
Proceedings of the UAI '02, 2002

Updating ACO Pheromones Using Stochastic Gradient Ascent and Cross-Entropy Methods.
Proceedings of the Applications of Evolutionary Computing, 2002

Planning Under Continuous Time and Resource Uncertainty: A Challenge for AI.
Proceedings of the AIPS 2002 Workshop on Planning for Temporal Domains, 2002

2001
A Model of Partially Observable State Game and its Optimality.
Appl. Intell., 2001

2000
Learning to Cooperate via Policy Search.
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.
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.
Mach. Learn., 1999

Learning Finite-State Controllers for Partially Observable Environments.
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.
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.
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.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Solving Very Large Weakly Coupled Markov Decision Processes.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1995
The Artificial Evolution of Cooperation.
Proceedings of the Artificial Evolution, European Conference, 1995


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