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» Strategy exploration in empirical games
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GECCO
2008
Springer
167views Optimization» more  GECCO 2008»
13 years 7 months ago
Using coevolution to understand and validate game balance in continuous games
We attack the problem of game balancing by using a coevolutionary algorithm to explore the space of possible game strategies and counter strategies. We define balanced games as g...
Ryan E. Leigh, Justin Schonfeld, Sushil J. Louis
ATAL
2009
Springer
14 years 26 days ago
Stronger CDA strategies through empirical game-theoretic analysis and reinforcement learning
We present a general methodology to automate the search for equilibrium strategies in games derived from computational experimentation. Our approach interleaves empirical game-the...
L. Julian Schvartzman, Michael P. Wellman
AAAI
2012
11 years 8 months ago
Generalized Monte-Carlo Tree Search Extensions for General Game Playing
General Game Playing (GGP) agents must be capable of playing a wide variety of games skillfully. Monte-Carlo Tree Search (MCTS) has proven an effective reasoning mechanism for thi...
Hilmar Finnsson
NOSSDAV
2005
Springer
13 years 11 months ago
Mitigating information exposure to cheaters in real-time strategy games
Cheating in on-line games is a prevalent problem for both game makers and players. The popular real-time strategy game genre is especially vulnerable to cheats, as it is frequentl...
Chris Chambers, Wu-chang Feng, Wu-chi Feng, Debanj...
SAGT
2010
Springer
127views Game Theory» more  SAGT 2010»
13 years 4 months ago
On the Rate of Convergence of Fictitious Play
Fictitious play is a simple learning algorithm for strategic games that proceeds in rounds. In each round, the players play a best response to a mixed strategy that is given by the...
Felix Brandt, Felix A. Fischer, Paul Harrenstein