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» A New Way to Introduce Knowledge into Reinforcement Learning
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WEBNET
2001
15 years 1 months ago
Building Learning Architectures: Domain Instruction Server (DIS)
: Web based instruction is growing at an incredible rate. Teachers, instructors, trainers and several others are putting their instructional content online. The format, style and m...
Juan E. Gilbert, Dale-Marie Wilson
IAT
2006
IEEE
15 years 5 months ago
Toward Inductive Logic Programming for Collaborative Problem Solving
In this paper, we tackle learning in distributed systems and the fact that learning does not necessarily involve the participation of agents directly in the inductive process itse...
Jian Huang, Adrian R. Pearce
FLAIRS
2004
15 years 1 months ago
Case-Based Bayesian Network Classifiers
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Eugene Santos, Ahmed Huessin
IPMI
2003
Springer
16 years 20 days ago
Learning Object Correspondences with the Observed Transport Shape Measure
Abstract. We propose a learning method which introduces explicit knowledge to the object correspondence problem. Our approach uses an a priori learning set to compute a dense corre...
Alain Pitiot, Hervé Delingette, Arthur W. T...
IJCAI
1989
15 years 1 months ago
Execution Architectures and Compilation
This paper introduces a partition of the possible forms of knowledge according to their rela­ tionship to the basic objective of an intelligent agent, namely to act successfully ...
Stuart J. Russell