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JAIR
2000
152views more  JAIR 2000»
15 years 2 months ago
Value-Function Approximations for Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
Milos Hauskrecht
AI
1999
Springer
15 years 2 months ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda
PVLDB
2008
89views more  PVLDB 2008»
15 years 2 months ago
Constrained physical design tuning
Abstract Existing solutions to the automated physical design problem in database systems attempt to minimize execution costs of input workloads for a given storage constraint. In t...
Nicolas Bruno, Surajit Chaudhuri
CIKM
2010
Springer
15 years 1 months ago
Rank learning for factoid question answering with linguistic and semantic constraints
This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
Matthew W. Bilotti, Jonathan L. Elsas, Jaime G. Ca...
SSIRI
2010
15 years 1 months ago
A Formal Framework for Mutation Testing
— Model-based approaches, especially based on directed graphs (DG), are becoming popular for mutation testing as they enable definition of simple, nevertheless powerful, mutation...
Fevzi Belli, Mutlu Beyazit
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