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ICML
1998
IEEE
14 years 7 months ago
Relational Reinforcement Learning
Relational reinforcement learning (RRL) is both a young and an old eld. In this paper, we trace the history of the eld to related disciplines, outline some current work and promis...
Kurt Driessens
ICML
1998
IEEE
14 years 7 months ago
An Information-Theoretic Definition of Similarity
Similarity is an important and widely used concept. Previous definitions of similarity are tied to a particular application or a form of knowledge representation. We present an in...
Dekang Lin
ICML
1998
IEEE
13 years 10 months ago
Learning to Drive a Bicycle Using Reinforcement Learning and Shaping
We present and solve a real-world problem of learning to drive a bicycle. We solve the problem by online reinforcement learning using the Sarsa(   )-algorithm. Then we solve the ...
Jette Randløv, Preben Alstrøm
ICML
1998
IEEE
14 years 7 months ago
The MAXQ Method for Hierarchical Reinforcement Learning
This paper presents a new approach to hierarchical reinforcement learning based on the MAXQ decomposition of the value function. The MAXQ decomposition has both a procedural seman...
Thomas G. Dietterich
ICML
1998
IEEE
14 years 7 months ago
Employing EM and Pool-Based Active Learning for Text Classification
This paper shows how a text classifier's need for labeled training documents can be reduced by taking advantage of a large pool of unlabeled documents. We modify the Query-by...
Andrew McCallum, Kamal Nigam