Nicolas Meuleau

Publication Activity (10 Years)

Years Active: 1995-2014
Publications (10 Years): 0

Top Topics

Stochastic Domains

Partially Observable

Heuristic Search

Top Venues

Publications

Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling
Learning to Cooperate via Policy Search. CoRR (2014)
Nicolas Meuleau, Emmanuel Benazera, Ronen I. Brafman, Eric A. Hansen, Mausam
A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains. CoRR (2014)
Nicolas Meuleau, Leonid Peshkin, Kee-Eung Kim, Leslie Pack Kaelbling
Learning Finite-State Controllers for Partially Observable Environments CoRR (2013)
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 (2013)
Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier
Hierarchical Solution of Markov Decision Processes using Macro-actions CoRR (2013)
Nicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling, Anthony R. Cassandra
Solving POMDPs by Searching the Space of Finite Policies CoRR (2013)
Zhengzhu Feng, Richard Dearden, Nicolas Meuleau, Richard Washington
Dynamic Programming for Structured Continuous Markov Decision Problems CoRR (2012)
Nicolas Meuleau, David E. Smith
Optimal Limited Contingency Planning CoRR (2012)
Nicolas Meuleau, Christian Plaunt, David E. Smith, Tristan B. Smith
An Emergency Landing Planner for Damaged Aircraft. IAAI (2009)
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 (2009)
Nicolas Meuleau, Ronen I. Brafman
Hierarchical Heuristic Forward Search in Stochastic Domains. IJCAI (2007)
Nicolas Meuleau, Ronen I. Brafman, Emmanuel Benazera
Stochastic Over-Subscription Planning Using Hierarchies of MDPs. ICAPS (2006)
Mausam, Emmanuel Benazera, Ronen I. Brafman, Nicolas Meuleau, Eric A. Hansen
Planning with Continuous Resources in Stochastic Domains. IJCAI (2005)
Mark Zlochin, Mauro Birattari, Nicolas Meuleau, Marco Dorigo
Model-Based Search for Combinatorial Optimization: A Critical Survey. Ann. Oper. Res. 131 (1-4) (2004)
Zhengzhu Feng, Richard Dearden, Nicolas Meuleau, Richard Washington
Dynamic Programming for Structured Continuous Markov Decision Problems. UAI (2004)
Nicolas Meuleau, David E. Smith
Optimal Limited Contingency Planning. UAI (2003)
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)
Marco Dorigo, Mark Zlochin, Nicolas Meuleau, Mauro Birattari
Updating ACO Pheromones Using Stochastic Gradient Ascent and Cross-Entropy Methods. EvoWorkshops (2002)
Nicolas Meuleau, Marco Dorigo
Ant Colony Optimization and Stochastic Gradient Descent. Artif. Life 8 (2) (2002)
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)
Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling
Learning to Cooperate via Policy Search CoRR (2001)
Matteo Golfarelli, Nicolas Meuleau
A Model of Partially Observable State Game and its Optimality. Appl. Intell. 14 (3) (2001)
Leonid Peshkin, Nicolas Meuleau, Leslie Pack Kaelbling
Learning Policies with External Memory CoRR (2001)
Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling
Learning to Cooperate via Policy Search. UAI (2000)
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)
Nicolas Meuleau, Paul Bourgine
Exploration of Multi-State Environments: Local Measures and Back-Propagation of Uncertainty. Mach. Learn. 35 (2) (1999)
Nicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling, Anthony R. Cassandra
Solving POMDPs by Searching the Space of Finite Policies. UAI (1999)
Leonid Peshkin, Nicolas Meuleau, Leslie Pack Kaelbling
Learning Policies with External Memory. ICML (1999)
Nicolas Meuleau, Leonid Peshkin, Kee-Eung Kim, Leslie Pack Kaelbling
Learning Finite-State Controllers for Partially Observable Environments. UAI (1999)
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)
Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier
Hierarchical Solution of Markov Decision Processes using Macro-actions. UAI (1998)
Nicolas Meuleau, Claude Lattaud
The Artificial Evolution of Cooperation. Artificial Evolution (1995)