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IJCAI
2001
14 years 11 months ago
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
Ronen I. Brafman, Moshe Tennenholtz
CSCLP
2006
Springer
15 years 1 months ago
Cost-Based Filtering for Stochastic Inventory Control
Abstract. An interesting class of production/inventory control problems considers a single product and a single stocking location, given a stochastic demand with a known non-statio...
Armagan Tarim, Brahim Hnich, Roberto Rossi, Steven...
ICPR
2008
IEEE
15 years 4 months ago
A stochastic nearest neighbor character prototype approach for online writer identification
One novel technique for identifying the writer of an online handwritten document is proposed. This technique makes use of a character prototype distribution to model the specific ...
Guo Xian Tan, Christian Viard-Gaudin, Alex ChiChun...
EUROPAR
2000
Springer
15 years 1 months ago
Cache Remapping to Improve the Performance of Tiled Algorithms
With the increasing processing power, the latency of the memory hierarchy becomes the stumbling block of many modern computer architectures. In order to speed-up the calculations, ...
Kristof Beyls, Erik H. D'Hollander
ASMTA
2008
Springer
167views Mathematics» more  ASMTA 2008»
14 years 12 months ago
Perfect Simulation of Stochastic Automata Networks
The solution of continuous and discrete-time Markovian models is still challenging mainly when we model large complex systems, for example, to obtain performance indexes of paralle...
Paulo Fernandes, Jean-Marc Vincent, Thais Webber