316 search results - page 36 / 64 » Learning to Play the Game of Chess |
172
click to vote
AIIDE
2006
15 years 7 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
167
click to vote
HICSS
2012
IEEE
14 years 1 months ago
2012
IEEE
In recent years, there has been growing interest in the study of individual cognition in teams. Meanwhile, we learned that much of human behavior involves nonconscious cognition. ...
182
click to vote
CIG
2005
IEEE
15 years 11 months ago
2005
IEEE
We present a case-injected genetic algorithm player for Strike Ops, a real-time strategy game. Such strategy games are fundamentally resource allocation optimization problems and o...
132
click to vote
IE
2007
15 years 7 months ago
2007
Extensive simulation of sensory perception for NPCs (Non Playing Characters) or bots in 3D games has been quite rare if not absent until recently. However, a few games have proven...
181
click to vote
CEC
2010
IEEE
15 years 6 months ago
2010
IEEE
—In this paper we apply Coevolutionary Temporal Difference Learning (CTDL), a hybrid of coevolutionary search and reinforcement learning proposed in our former study, to evolve s...