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CIMCA
2008
IEEE
16 years 1 months ago
Tree Exploration for Bayesian RL Exploration
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
Christos Dimitrakakis
AAMAS
2012
Springer
14 years 2 months ago
Koko: an architecture for affect-aware games
The importance of affect in delivering engaging experiences in entertainment and educational games is well recognized. Yet, current techniques for building affect-aware games are l...
Derek J. Sollenberger, Munindar P. Singh
FOCS
2006
IEEE
16 years 26 days ago
Approximation algorithms for allocation problems: Improving the factor of 1 - 1/e
Combinatorial allocation problems require allocating items to players in a way that maximizes the total utility. Two such problems received attention recently, and were addressed ...
Uriel Feige, Jan Vondrák
INFOCOM
2003
IEEE
16 years 2 days ago
Optimal Partition of QoS Requirements for Many-to-Many Connections
— We study problems related to supporting multicast connections with Quality of Service (QoS) requirements. We investigate the problem of optimal resource allocation in the conte...
Dean H. Lorenz, Ariel Orda, Danny Raz
SIGGRAPH
1993
ACM
15 years 11 months ago
Wavelet radiosity
Radiosity methods have been shown to be an effective means to solve the global illumination problem in Lambertian diffuse environments. These methods approximate the radiosity int...
Steven J. Gortler, Peter Schröder, Michael F....