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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
FIRSTMONDAY
2010
136views more  FIRSTMONDAY 2010»
13 years 5 months ago
Education and the social Web: Connective learning and the commercial imperative
In recent years, new socially-oriented Web technologies have been portrayed as placing the learner at the centre of networks of knowledge and expertise, potentially leading to new...
Norm Friesen
ICRA
2005
IEEE
137views Robotics» more  ICRA 2005»
14 years 1 months ago
Learning Opportunity Costs in Multi-Robot Market Based Planners
— Direct human control of multi-robot systems is limited by the cognitive ability of humans to coordinate numerous interacting components. In remote environments, such as those e...
Jeff G. Schneider, David Apfelbaum, Drew Bagnell, ...
IS
2010
13 years 4 months ago
Multicriteria reinforcement learning based on a Russian doll method for network routing
The routing in communication networks is typically a multicriteria decision making (MCDM) problem. However, setting the parameters of most used MCDM methods to fit the preferences ...
Alain Pétrowski, Farouk Aissanou, Ilham Ben...
PERSUASIVE
2009
Springer
14 years 2 months ago
A behavior model for persuasive design
This paper presents a new model for understanding human behavior. In this model (FBM), behavior is a product of three factors: motivation, ability, and triggers, each of which has...
B. J. Fogg