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» Learning to Optimize Plan Execution in Information Agents
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SIGMOD
1995
ACM
80views Database» more  SIGMOD 1995»
13 years 11 months ago
Join Queries with External Text Sources: Execution and Optimization Techniques
Text is a pervasive information type, and many applications require querying over text sources in addition to structured data. This paper studies the problem of query processing i...
Surajit Chaudhuri, Umeshwar Dayal, Tak W. Yan
IJRR
2011
126views more  IJRR 2011»
13 years 2 months ago
Optimization and learning for rough terrain legged locomotion
We present a novel approach to legged locomotion over rough terrain that is thoroughly rooted in optimization. This approach relies on a hierarchy of fast, anytime algorithms to p...
Matthew Zucker, Nathan D. Ratliff, Martin Stolle, ...
AAAI
2006
13 years 9 months ago
Heuristic Search and Information Visualization Methods for School Redistricting
We describe an application of AI search and information visualization techniques to the problem of school redistricting, in which students are assigned to home schools within a co...
Marie desJardins, Blazej Bulka, Ryan Carr, Andrew ...
AGI
2011
12 years 11 months ago
Reinforcement Learning and the Bayesian Control Rule
We present an actor-critic scheme for reinforcement learning in complex domains. The main contribution is to show that planning and I/O dynamics can be separated such that an intra...
Pedro Alejandro Ortega, Daniel Alexander Braun, Si...
ATAL
2000
Springer
13 years 12 months ago
Task Coordination Paradigms for Information Agents
In agent systems, different (autonomous) agents collaborate to execute complex tasks. Each agent provides a set of useful capabilities, and the agent system combines these capabili...
Marian H. Nodine, Damith Chandrasekara, Amy Unruh