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CIMCA
2008
IEEE
14 years 3 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
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
14 years 3 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
ADHOC
2010
138views more  ADHOC 2010»
13 years 9 months ago
On the feasibility of UMTS-based Traffic Information Systems
Intelligent Transportation Systems (ITS) are a hot topic in the communications society. Currently, research is primarily focusing on setting up Vehicular Ad Hoc Networks (VANETs) ...
Christoph Sommer, Armin Schmidt, Yi Chen, Reinhard...
SIGMETRICS
2011
ACM
161views Hardware» more  SIGMETRICS 2011»
12 years 11 months ago
Modeling program resource demand using inherent program characteristics
The workloads in modern Chip-multiprocessors (CMP) are becoming increasingly diversified, creating different resource demands on hardware substrate. It is necessary to allocate h...
Jian Chen, Lizy Kurian John, Dimitris Kaseridis
STOC
2004
ACM
107views Algorithms» more  STOC 2004»
14 years 9 months ago
Primal-dual algorithms for deterministic inventory problems
We consider several classical models in deterministic inventory theory: the single-item lot-sizing problem, the joint replenishment problem, and the multi-stage assembly problem. ...
Retsef Levi, Robin Roundy, David B. Shmoys