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CIG
2005
IEEE
14 years 3 months ago
Adapting Reinforcement Learning for Computer Games: Using Group Utility Functions
AbstractGroup utility functions are an extension of the common team utility function for providing multiple agents with a common reinforcement learning signal for learning cooperat...
Jay Bradley, Gillian Hayes
CAV
2010
Springer
243views Hardware» more  CAV 2010»
14 years 1 months ago
libalf: The Automata Learning Framework
d Abstract) Benedikt Bollig1 , Joost-Pieter Katoen2 , Carsten Kern2 , Martin Leucker3 , Daniel Neider2 , and David R. Piegdon2 1 LSV, ENS Cachan, CNRS, 2 RWTH Aachen University, 3 ...
Benedikt Bollig, Joost-Pieter Katoen, Carsten Kern...
BC
2006
149views more  BC 2006»
13 years 9 months ago
Learning invariant object recognition in the visual system with continuous transformations
Abstract The cerebral cortex utilizes spatiotemporal continuity in the world to help build invariant representations. In vision, these might be representations of objects. The temp...
Simon M. Stringer, G. Perry, Edmund T. Rolls, J. H...
ABIALS
2008
Springer
14 years 4 months ago
A Two-Level Model of Anticipation-Based Motor Learning for Whole Body Motion
Abstract. We present a model of motor learning based on a combination of Operational Space Control and Optimal Control. Anticipatory processes are used both in the learning of the ...
Camille Salaün, Vincent Padois, Olivier Sigau...
IJVR
2008
130views more  IJVR 2008»
13 years 9 months ago
An Example of Virtual Environment and Web-based Application in Learning
Due to its importance as a model for several software and hardware applications, automata theory is a core topic in computer science and engineering education. But because of its m...
Mohamed Hamada