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» Approximation Algorithms for Unique Games
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NETGAMES
2006
ACM
14 years 1 months ago
Comparing interest management algorithms for massively multiplayer games
Broadcasting all state changes to every player of a massively multiplayer game is not a viable solution. To successfully overcome the challenge of scale, massively multiplayer gam...
Jean-Sébastien Boulanger, Jörg Kienzle...
SIGECOM
2006
ACM
135views ECommerce» more  SIGECOM 2006»
14 years 1 months ago
Finding equilibria in large sequential games of imperfect information
Finding an equilibrium of an extensive form game of imperfect information is a fundamental problem in computational game theory, but current techniques do not scale to large games...
Andrew Gilpin, Tuomas Sandholm
ATAL
2007
Springer
14 years 1 months ago
Reducing the complexity of multiagent reinforcement learning
It is known that the complexity of the reinforcement learning algorithms, such as Q-learning, may be exponential in the number of environment’s states. It was shown, however, th...
Andriy Burkov, Brahim Chaib-draa
TRS
2008
13 years 7 months ago
Local and Global Approximations for Incomplete Data
Abstract. For completely specified decision tables lower and upper approximations are unique, the lower approximation is the largest definable set contained in the approximated set...
Jerzy W. Grzymala-Busse, Wojciech Rzasa
SODA
2010
ACM
145views Algorithms» more  SODA 2010»
13 years 5 months ago
On the Equilibria of Alternating Move Games
We consider computational aspects of alternating move games, repeated games in which players take actions at alternating time steps rather than playing simultaneously. We show tha...
Aaron Roth, Maria-Florina Balcan, Adam Kalai, Yish...