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COLT
2008
Springer
15 years 2 months ago
Adaptive Aggregation for Reinforcement Learning with Efficient Exploration: Deterministic Domains
We propose a model-based learning algorithm, the Adaptive Aggregation Algorithm (AAA), that aims to solve the online, continuous state space reinforcement learning problem in a de...
Andrey Bernstein, Nahum Shimkin
122
Voted
AR
2008
118views more  AR 2008»
15 years 28 days ago
Efficient Behavior Learning Based on State Value Estimation of Self and Others
The existing reinforcement learning methods have been seriously suffering from the curse of dimension problem especially when they are applied to multiagent dynamic environments. ...
Yasutake Takahashi, Kentarou Noma, Minoru Asada
ICALT
2006
IEEE
15 years 6 months ago
Authoring Adaptive Hypermedia and IMS Learning Design: A Possible Understanding?
Adaptive Educational Hypermedia (AEH) and IMS Learning Design (IMS LD) are different disciplines, and at present, there is little shared knowledge between them. However, their goa...
Alexandra I. Cristea, Daniel Burgos
124
Voted
ICIP
2005
IEEE
16 years 2 months ago
Learning hidden semantic cues using support vector clustering
This paper presents a method to infer hidden semantic cues by accumulating the knowledge learned from relevance feedback sessions. We propose to explicitly represent a semantic sp...
Jia-Wen Tung, Chiou-Ting Hsu
ROBOCUP
2007
Springer
167views Robotics» more  ROBOCUP 2007»
15 years 7 months ago
Cooperative/Competitive Behavior Acquisition Based on State Value Estimation of Others
The existing reinforcement learning approaches have been suffering from the curse of dimension problem when they are applied to multiagent dynamic environments. One of the typical...
Kentarou Noma, Yasutake Takahashi, Minoru Asada