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ICML
2003
IEEE
16 years 4 months ago
Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
Yaakov Engel, Shie Mannor, Ron Meir
110
Voted
ALT
2009
Springer
16 years 16 days ago
Learning Unknown Graphs
Motivated by a problem of targeted advertising in social networks, we introduce and study a new model of online learning on labeled graphs where the graph is initially unknown and...
Nicolò Cesa-Bianchi, Claudio Gentile, Fabio...
170
Voted
ICALT
2008
IEEE
15 years 10 months ago
Personalized Access and Students' Coauthoring in Repositories of Learning Objects: The Case of a Repository of Programming Examp
This paper presents a Case-Based Reasoning approach for the personalized access and the students’ coauthoring tasks in on-line repositories of Learning Objects (LOs). The person...
Mercedes Gómez-Albarrán, Susana Baut...
SASO
2008
IEEE
15 years 10 months ago
Leveraging Organizational Guidance Policies with Learning to Self-Tune Multiagent Systems
As organization-based multiagent systems are applied to more complex problems, configuring and tuning the systems can become nearly as complex as the original problem a system wa...
Scott J. Harmon, Scott A. DeLoach, Robby, Doina Ca...
153
Voted
ROMAN
2007
IEEE
173views Robotics» more  ROMAN 2007»
15 years 9 months ago
Human-Robot Interactions as a Cognitive Catalyst for the Learning of Behavioral Attractors
— We address in this paper the problem of the autonomous online learning of a sensory-motor task, demonstrated by an operator guiding the robot. For the last decade, we have deve...
Christophe Giovannangeli, Philippe Gaussier