93 search results - page 2 / 19 » Agent Learning using Action-Dependent Learning Rates in Comp... |
AIIDE
2008
13 years 7 months ago
2008
Human experience with interactive games will be enhanced if the software agents that play the game learn from their failures. Techniques such as reinforcement learning provide one...
AIED
2005
Springer
13 years 11 months ago
2005
Springer
Our goal in this work has been to bring together the entertaining and flow characteristics of video game environments with proven learning theories to advance the state of the art ...
CIG
2005
IEEE
13 years 11 months ago
2005
IEEE
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...
ATAL
2005
Springer
13 years 11 months ago
2005
Springer
Designing agents whose behavior challenges human players adequately is a key issue in computer games development. This work presents a novel technique, based on reinforcement lear...
AAAI
2010
13 years 6 months ago
2010
The aim of General Game Playing (GGP) is to create intelligent agents that can automatically learn how to play many different games at an expert level without any human interventi...