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» Efficient Reinforcement Learning
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AIED
2009
Springer
15 years 10 months ago
To Elicit Or To Tell: Does It Matter?
Abstract. While high interactivity has been one of the main characteristics of oneon-one human tutoring, a great deal of controversy surrounds the issue of whether interactivity is...
Min Chi, Pamela W. Jordan, Kurt VanLehn, Diane J. ...
139
Voted
ICML
2010
IEEE
15 years 4 months ago
Inverse Optimal Control with Linearly-Solvable MDPs
We present new algorithms for inverse optimal control (or inverse reinforcement learning, IRL) within the framework of linearlysolvable MDPs (LMDPs). Unlike most prior IRL algorit...
Dvijotham Krishnamurthy, Emanuel Todorov
121
Voted
PERCOM
2009
ACM
16 years 4 months ago
Proactive and Adaptive Fuzzy Profile Control for Mobile Phones
In this paper we describe a context-sensitive way to change an active mobile phone profile. We present a method to create a proactive and adaptive phone profile control system that...
Miika Valtonen, Antti-Matti Vainio, Jukka Vanhala
135
Voted
LCN
2006
IEEE
15 years 9 months ago
Sensor Networks Routing via Bayesian Exploration
There is increasing research interest in solving routing problems in sensor networks subject to constraints such as data correlation, link reliability and energy conservation. Sin...
Shuang Hao, Ting Wang
GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
15 years 9 months ago
Transfer of Neuroevolved Controllers in Unstable Domains
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...
Faustino J. Gomez, Risto Miikkulainen