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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
COCOON
2008
Springer
15 years 1 months ago
On the Complexity of Equilibria Problems in Angel-Daemon Games
We analyze the complexity of equilibria problems for a class of strategic zero-sum games, called Angel-Daemon games. Those games were introduced to asses the goodness of a web or g...
Joaquim Gabarró, Alina García, Maria...
INFOCOM
2003
IEEE
15 years 5 months ago
Pricing Network Services
— We propose a game theoretic pricing mechanism for statistically guaranteed service in packet-switched networks. The mechanism provides congestion control, differentiated qualit...
Jun Shu, Pravin Varaiya
CN
2006
107views more  CN 2006»
14 years 11 months ago
BGP session lifetime modeling in congested networks
The reliable Border Gateway Protocol (BGP) is essential for supporting high quality Internet data communication. In present Internet, due to the lack of differentiation mechanism ...
Li Xiao, Guanghui He, Klara Nahrstedt
EL
2002
134views more  EL 2002»
14 years 11 months ago
Security issues in online games
The traditional target of computer game security is mainly copy protection. The emergence of online games fundamentally changes the security requirements for computer games. Althou...
Jianxin Jeff Yan, Hyun-Jin Choi