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NIPS
1998
15 years 8 months ago
Gradient Descent for General Reinforcement Learning
A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
Leemon C. Baird III, Andrew W. Moore
IJCAI
1997
15 years 8 months ago
Middle-Agents for the Internet
Like middle-men in physical commerce, middleagents support the flow of information in electronic commerce, assisting in locating and connecting the ultimate information provider ...
Keith Decker, Katia P. Sycara, Mike Williamson
IJCAI
1997
15 years 8 months ago
Recursive Plans for Information Gathering
Generating query-answering plans for information gathering agents requires to translate a user query, formulated in terms of a set of virtual relations, to a query that uses relat...
Oliver M. Duschka, Alon Y. Levy
IJCAI
1997
15 years 8 months ago
On the Efficient Classification of Data Structures by Neural Networks
Marco Gori Dipartimento di Ingegneria deU'Informazione Universita di Siena Via Roma 56 53100 Siena, Italy Alessandro Sperduti Dipartimento di Informatica Universita di Pisa C...
Paolo Frasconi, Marco Gori, Alessandro Sperduti
WSC
1998
15 years 8 months ago
An Analytical Comparison of Optimization Problem Generation Methodologies
Heuristics are an increasingly popular solution method for combinatorial optimization problems. Heuristic use often frees the modeler from some of the restrictions placed on class...
Raymond R. Hill
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