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» Strategy exploration in empirical games
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ATAL
2010
Springer
13 years 5 months ago
Strategy exploration in empirical games
Empirical analyses of complex games necessarily focus on a restricted set of strategies, and thus the value of empirical game models depends on effective methods for selectively e...
Patrick R. Jordan, L. Julian Schvartzman, Michael ...
ATAL
2009
Springer
13 years 11 months ago
Generalization risk minimization in empirical game models
Experimental analysis of agent strategies in multiagent systems presents a tradeoff between granularity and statistical confidence. Collecting a large amount of data about each s...
Patrick R. Jordan, Michael P. Wellman
ATAL
2008
Springer
13 years 6 months ago
Searching for approximate equilibria in empirical games
When exploring a game over a large strategy space, it may not be feasible or cost-effective to evaluate the payoff of every relevant strategy profile. For example, determining a p...
Patrick R. Jordan, Yevgeniy Vorobeychik, Michael P...
ICANN
2010
Springer
13 years 4 months ago
Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients
Abstract. Developing superior artificial board-game players is a widelystudied area of Artificial Intelligence. Among the most challenging games is the Asian game of Go, which, des...
Mandy Grüttner, Frank Sehnke, Tom Schaul, J&u...
ATAL
2008
Springer
13 years 6 months ago
Selecting strategies using empirical game models: an experimental analysis of meta-strategies
In many complex multi-agent domains it is impractical to compute exact analytic solutions. An alternate means of analysis applies computational tools to derive and analyze empiric...
Christopher Kiekintveld, Michael P. Wellman