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SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
16 years 1 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
CIG
2005
IEEE
16 years 24 days ago
A Generic Approach for Generating Interesting Interactive Pac-Man Opponents
This paper follows on from our previous work focused on formulating an efficient generic measure of user’s satisfaction (‘interest’) when playing predator/prey games. Viewin...
Georgios N. Yannakakis, John Hallam
ECML
2006
Springer
15 years 9 months ago
Cascade Evaluation of Clustering Algorithms
Abstract. This paper is about the evaluation of the results of clustering algorithms, and the comparison of such algorithms. We propose a new method based on the enrichment of a se...
Laurent Candillier, Isabelle Tellier, Fabien Torre...
AIIDE
2009
15 years 8 months ago
Examining Extended Dynamic Scripting in a Tactical Game Framework
Dynamic scripting is a reinforcement learning algorithm designed specifically to learn appropriate tactics for an agent in a modern computer game, such as Neverwinter Nights. This...
Jeremy Ludwig, Arthur Farley
AR
2007
111views more  AR 2007»
15 years 7 months ago
Acquisition of joint attention through natural interaction utilizing motion cues
Joint attention is one of the most important cognitive functions for the emergence of communication not only between humans but also between humans and robots. In the previous wor...
Hidenobu Sumioka, Koh Hosoda, Yuichiro Yoshikawa, ...