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» Adaptive Strategies of MTD-f for Actual Games
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CIG
2005
IEEE
13 years 10 months ago
Adaptive Strategies of MTD-f for Actual Games
Kazutomo Shibahara, Nobuo Inui, Yoshiyuki Kotani
ICC
2008
IEEE
139views Communications» more  ICC 2008»
13 years 11 months ago
Repeated Spectrum Sharing Game with Self-Enforcing Truth-Telling Mechanism
—Dynamic spectrum access has become a promising approach that can coordinate different users’ access to adapt to spectrum dynamics to improve spectrum efficiency. However, use...
Yongle Wu, Beibei Wang, K. J. Ray Liu
ICML
2003
IEEE
14 years 5 months ago
AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Oppon
A satisfactory multiagent learning algorithm should, at a minimum, learn to play optimally against stationary opponents and converge to a Nash equilibrium in self-play. The algori...
Vincent Conitzer, Tuomas Sandholm
ALT
2005
Springer
14 years 1 months ago
Defensive Universal Learning with Experts
This paper shows how universal learning can be achieved with expert advice. To this aim, we specify an experts algorithm with the following characteristics: (a) it uses only feedba...
Jan Poland, Marcus Hutter