2007 |
22 | EE | Nicolas Meuleau,
Ronen I. Brafman:
Hierarchical Heuristic Forward Search in Stochastic Domains.
IJCAI 2007: 2542-2549 |
2006 |
21 | | Nicolas Meuleau,
Ronen I. Brafman,
Emmanuel Benazera:
Stochastic Over-Subscription Planning Using Hierarchies of MDPs.
ICAPS 2006: 121-130 |
2005 |
20 | EE | Mausam,
Emmanuel Benazera,
Ronen I. Brafman,
Nicolas Meuleau,
Eric A. Hansen:
Planning with Continuous Resources in Stochastic Domains.
IJCAI 2005: 1244-1251 |
2004 |
19 | EE | Zhengzhu Feng,
Richard Dearden,
Nicolas Meuleau,
Richard Washington:
Dynamic Programming for Structured Continuous Markov Decision Problems.
UAI 2004: 154-161 |
18 | EE | Mark Zlochin,
Mauro Birattari,
Nicolas Meuleau,
Marco Dorigo:
Model-Based Search for Combinatorial Optimization: A Critical Survey.
Annals OR 131(1-4): 373-395 (2004) |
2003 |
17 | | Nicolas Meuleau,
David E. Smith:
Optimal Limited Contingency Planning.
UAI 2003: 417-426 |
2002 |
16 | | 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 |
15 | EE | Marco Dorigo,
Mark Zlochin,
Nicolas Meuleau,
Mauro Birattari:
Updating ACO Pheromones Using Stochastic Gradient Ascent and Cross-Entropy Methods.
EvoWorkshops 2002: 21-30 |
14 | | John L. Bresina,
Richard Dearden,
Nicolas Meuleau,
Sailesh Ramkrishnan,
David E. Smith,
Richard Washington:
Planning under Continuous Time and Resource Uncertainty: A Challenge for AI.
UAI 2002: 77-84 |
13 | | Nicolas Meuleau,
Marco Dorigo:
Ant Colony Optimization and Stochastic Gradient Descent.
Artificial Life 8(2): 103-121 (2002) |
2001 |
12 | | Matteo Golfarelli,
Nicolas Meuleau:
A Model of Partially Observable State Game and its Optimality.
Appl. Intell. 14(3): 273-284 (2001) |
11 | EE | Leonid Peshkin,
Nicolas Meuleau,
Leslie Pack Kaelbling:
Learning Policies with External Memory
CoRR cs.LG/0103003: (2001) |
10 | EE | Leonid Peshkin,
Kee-Eung Kim,
Nicolas Meuleau,
Leslie Pack Kaelbling:
Learning to Cooperate via Policy Search
CoRR cs.LG/0105032: (2001) |
2000 |
9 | | Kee-Eung Kim,
Thomas Dean,
Nicolas Meuleau:
Approximate Solutions to Factored Markov Decision Processes via Greedy Search in the Space of Finite State Controllers.
AIPS 2000: 323-330 |
8 | EE | Leonid Peshkin,
Kee-Eung Kim,
Nicolas Meuleau,
Leslie Pack Kaelbling:
Learning to Cooperate via Policy Search.
UAI 2000: 489-496 |
1999 |
7 | | Leonid Peshkin,
Nicolas Meuleau,
Leslie Pack Kaelbling:
Learning Policies with External Memory.
ICML 1999: 307-314 |
6 | EE | Nicolas Meuleau,
Kee-Eung Kim,
Leslie Pack Kaelbling,
Anthony R. Cassandra:
Solving POMDPs by Searching the Space of Finite Policies.
UAI 1999: 417-426 |
5 | EE | Nicolas Meuleau,
Leonid Peshkin,
Kee-Eung Kim,
Leslie Pack Kaelbling:
Learning Finite-State Controllers for Partially Observable Environments.
UAI 1999: 427-436 |
4 | | Nicolas Meuleau,
Paul Bourgine:
Exploration of Multi-State Environments: Local Measures and Back-Propagation of Uncertainty.
Machine Learning 35(2): 117-154 (1999) |
1998 |
3 | | Nicolas Meuleau,
Milos Hauskrecht,
Kee-Eung Kim,
Leonid Peshkin,
Leslie Pack Kaelbling,
Thomas Dean,
Craig Boutilier:
Solving Very Large Weakly Coupled Markov Decision Processes.
AAAI/IAAI 1998: 165-172 |
2 | EE | Milos Hauskrecht,
Nicolas Meuleau,
Leslie Pack Kaelbling,
Thomas Dean,
Craig Boutilier:
Hierarchical Solution of Markov Decision Processes using Macro-actions.
UAI 1998: 220-229 |
1995 |
1 | | Nicolas Meuleau,
Claude Lattaud:
The Artificial Evolution of Cooperation.
Artificial Evolution 1995: 159-180 |