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NN
2006
Springer
15 years 20 days ago
Neural systems implicated in delayed and probabilistic reinforcement
This review considers the theoretical problems facing agents that must learn and choose on the basis of reward or reinforcement that is uncertain or delayed, in implicit or proced...
Rudolf N. Cardinal
KDD
2012
ACM
254views Data Mining» more  KDD 2012»
13 years 3 months ago
Playlist prediction via metric embedding
Digital storage of personal music collections and cloud-based music services (e.g. Pandora, Spotify) have fundamentally changed how music is consumed. In particular, automatically...
Shuo Chen, Josh L. Moore, Douglas Turnbull, Thorst...
ECTEL
2009
Springer
15 years 7 months ago
Supporting Virtual Reality in an Adaptive Web-Based Learning Environment
Virtual Reality (VR) is gaining in popularity and its added value for learning is being recognized. However, its richness in representation and manipulation possibilities may also ...
Olga De Troyer, Frederic Kleinermann, Bram Pellens...
FORMATS
2004
Springer
15 years 6 months ago
Learning of Event-Recording Automata
Abstract. We extend Angluin’s algorithm for on-line learning of regular languages to the setting of timed systems. We consider systems that can be described by a class of determi...
Olga Grinchtein, Bengt Jonsson, Martin Leucker
ATAL
2006
Springer
15 years 4 months ago
Rule value reinforcement learning for cognitive agents
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
Christopher Child, Kostas Stathis