4 search results - page 1 / 1 » Analogical Learning in a Turn-Based Strategy Game |
IJCAI
2007
13 years 5 months ago
2007
A key problem in playing strategy games is learning how to allocate resources effectively. This can be a difficult task for machine learning when the connections between actions a...
COLT
2003
Springer
13 years 9 months ago
2003
Springer
A general class of no-regret learning algorithms, called no-Φ-regret learning algorithms, is defined which spans the spectrum from no-external-regret learning to no-internal-reg...
JAIR
2008
13 years 4 months ago
2008
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
AAMAS
2002
Springer
13 years 4 months ago
2002
Springer
We control a population of interacting software agents. The agents have a strategy, and receive a payoff for executing that strategy. Unsuccessful agents become extinct. We investi...