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GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 4 months ago
Reinforcement learning for games: failures and successes
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
Wolfgang Konen, Thomas Bartz-Beielstein
CCS
2003
ACM
15 years 5 months ago
Incentive-based modeling and inference of attacker intent, objectives, and strategies
Although the ability to model and infer Attacker Intent, Objectives and Strategies (AIOS) may dramatically advance the literature of risk assessment, harm prediction, and predicti...
Peng Liu, Wanyu Zang
ASUNAM
2009
IEEE
15 years 6 months ago
An Analytical Way to Find Influencers on Social Networks and Validate their Effects in Disseminating Social Games
As the weight of online social networks (OSNs) which provide powerful means of sharing common interests and communicating has gradually grown up, influencers are also given the gr...
Erica Suyeon Kim, Steve SangKi Han
GLOBECOM
2009
IEEE
15 years 6 months ago
Optimal Power Allocation Strategy Against Jamming Attacks Using the Colonel Blotto Game
Abstract—Cognitive radio technologies have become a promising approach to increase the efficiency of spectrum utilization. Although cognitive radio has been intensively studied ...
Yongle Wu, Beibei Wang, K. J. Ray Liu
GLOBECOM
2008
IEEE
15 years 6 months ago
Network Formation Games for Distributed Uplink Tree Construction in IEEE 802.16J Networks
— This paper investigates the problem of the formation of an uplink tree structure among the IEEE 802.16j network’s relay stations (RSs) and their serving base station (MR-BS)....
Walid Saad, Zhu Han, Mérouane Debbah, Are H...