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» Using Learning in a Control Agent
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AIIDE
2007
13 years 11 months ago
Automatic Rule Ordering for Dynamic Scripting
The goal of adaptive game AI is to enhance computercontrolled game-playing agents with (1) the ability to selfcorrect mistakes, and (2) creativity in responding to new situations....
Timor Timuri, Pieter Spronck, H. Jaap van den Heri...
RAS
2010
164views more  RAS 2010»
13 years 7 months ago
Towards performing everyday manipulation activities
This article investigates fundamental issues in scaling autonomous personal robots towards open-ended sets of everyday manipulation tasks which involve high complexity and vague j...
Michael Beetz, Dominik Jain, Lorenz Mösenlech...
CDC
2010
IEEE
136views Control Systems» more  CDC 2010»
13 years 4 months ago
Pathologies of temporal difference methods in approximate dynamic programming
Approximate policy iteration methods based on temporal differences are popular in practice, and have been tested extensively, dating to the early nineties, but the associated conve...
Dimitri P. Bertsekas
ICMI
2005
Springer
136views Biometrics» more  ICMI 2005»
14 years 2 months ago
Contextual recognition of head gestures
Head pose and gesture offer several key conversational grounding cues and are used extensively in face-to-face interaction among people. We investigate how dialog context from an ...
Louis-Philippe Morency, Candace L. Sidner, Christo...
ICANN
2010
Springer
13 years 7 months ago
Teaching Humanoids to Imitate 'Shapes' of Movements
Trajectory formation is one of the basic functions of the neuromotor controller. In particular, reaching, avoiding, controlling impacts (hitting), drawing, dancing and imitating ar...
Vishwanathan Mohan, Giorgio Metta, Jacopo Zenzeri,...