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KBS
2002
106views more  KBS 2002»
15 years 4 months ago
Genetic rule induction at an intermediate level
Lists of if
Ton Weijters, Jan Paredis
ICML
2005
IEEE
16 years 5 months ago
Hedged learning: regret-minimization with learning experts
In non-cooperative multi-agent situations, there cannot exist a globally optimal, yet opponent-independent learning algorithm. Regret-minimization over a set of strategies optimiz...
Yu-Han Chang, Leslie Pack Kaelbling
IADIS
2004
15 years 5 months ago
Towards a Theoretical Framework for Informal Language Learning Via Interactive Television
This paper proposes a pedagogical framework for informal language learning services via interactive television. We argue that mapping current language learning theories onto learn...
Lyn Pemberton, Sanaz Fallahkhair, Judith Masthoff
ICML
2003
IEEE
16 years 5 months ago
Action Elimination and Stopping Conditions for Reinforcement Learning
We consider incorporating action elimination procedures in reinforcement learning algorithms. We suggest a framework that is based on learning an upper and a lower estimates of th...
Eyal Even-Dar, Shie Mannor, Yishay Mansour
SAB
2010
Springer
189views Optimization» more  SAB 2010»
15 years 2 months ago
TeXDYNA: Hierarchical Reinforcement Learning in Factored MDPs
Reinforcement learning is one of the main adaptive mechanisms that is both well documented in animal behaviour and giving rise to computational studies in animats and robots. In th...
Olga Kozlova, Olivier Sigaud, Christophe Meyer