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NAACL
2001
15 years 8 months ago
Learning Optimal Dialogue Management Rules by Using Reinforcement Learning and Inductive Logic Programming
Developing dialogue systems is a complex process. In particular, designing efficient dialogue management strategies is often difficult as there are no precise guidelines to develo...
Renaud Lecoeuche
CCGRID
2010
IEEE
15 years 8 months ago
Selective Recovery from Failures in a Task Parallel Programming Model
Abstract--We present a fault tolerant task pool execution environment that is capable of performing fine-grain selective restart using a lightweight, distributed task completion tr...
James Dinan, Arjun Singri, P. Sadayappan, Sriram K...
CONSTRAINTS
2004
116views more  CONSTRAINTS 2004»
15 years 6 months ago
Decision Tradeoff Using Example-Critiquing and Constraint Programming
We consider constructive preference elicitation for decision aid systems in applications such as configuration or electronic catalogs. We are particularly interested in supporting ...
Pearl Pu, Boi Faltings
CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
15 years 1 months ago
Q-learning and enhanced policy iteration in discounted dynamic programming
We consider the classical finite-state discounted Markovian decision problem, and we introduce a new policy iteration-like algorithm for finding the optimal state costs or Q-facto...
Dimitri P. Bertsekas, Huizhen Yu
ICDE
2007
IEEE
164views Database» more  ICDE 2007»
16 years 1 months ago
An Integer Linear Programming Approach to Database Design
Existing index selection tools rely on heuristics to efficiently search within the large space of alternative solutions and to minimize the overhead of using the query optimizer ...
Stratos Papadomanolakis, Anastassia Ailamaki