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» Selection and context for action recognition
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NIPS
1994
14 years 11 months ago
Finding Structure in Reinforcement Learning
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...
Sebastian Thrun, Anton Schwartz
EKAW
2008
Springer
14 years 11 months ago
A Platform for Object-Action Semantic Web Interaction
Semantic Web applications tests show that their usability is seriously compromised. This motivates the exploration of alternative interaction paradigms, different from the "tr...
Roberto García, Juan Manuel Gimeno, Ferran ...
JAPLL
2008
91views more  JAPLL 2008»
14 years 9 months ago
Undoing the effects of action sequences
In this paper, we study the following basic problem: After having executed a sequence of actions, find a sequence of actions that brings the agent back to the state just before th...
Thomas Eiter, Esra Erdem, Wolfgang Faber
ICCV
2011
IEEE
13 years 9 months ago
Understanding Egocentric Activities
We present a method to analyze daily activities, such as meal preparation, using video from an egocentric camera. Our method performs inference about activities, actions, hands, a...
Alireza Fathi, Ali Farhadi, James M. Rehg
NN
2006
Springer
101views Neural Networks» more  NN 2006»
14 years 9 months ago
A robot model of the basal ganglia: Behavior and intrinsic processing
The existence of multiple parallel loops connecting sensorimotor systems to the basal ganglia has given rise to proposals that these nuclei serve as a selection mechanism resolvin...
Tony J. Prescott, Fernando M. Montes Gonzál...