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JUCS
2007
98views more  JUCS 2007»
13 years 7 months ago
Focus of Attention in Reinforcement Learning
Abstract: Classification-based reinforcement learning (RL) methods have recently been proposed as an alternative to the traditional value-function based methods. These methods use...
Lihong Li, Vadim Bulitko, Russell Greiner
ESWA
2002
134views more  ESWA 2002»
13 years 7 months ago
A personalized recommender system based on web usage mining and decision tree induction
A personalized product recommendation is an enabling mechanism to overcome information overload occurred when shopping in an Internet marketplace. Collaborative filtering has been...
Yoon Ho Cho, Jae Kyeong Kim, Soung Hie Kim
TROB
2002
127views more  TROB 2002»
13 years 7 months ago
Probabilistic pursuit-evasion games: theory, implementation, and experimental evaluation
We consider the problem of having a team of Unmanned Aerial Vehicles (UAV) and Unmanned Ground Vehicles (UGV) pursue a second team of evaders while concurrently building a map in a...
René Vidal, Omid Shakernia, H. Jin Kim, Dav...
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
13 years 5 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone
HCI
2009
13 years 5 months ago
Trust in Online Technology: Towards Practical Guidelines Based on Experimentally Verified Theory
Abstract. A large amount of research attempts to define trust, yet relatively little research attempts to experimentally verify what makes trust needed in interactions with humans ...
Christian Detweiler, Joost Broekens
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