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IJCAI
2007
15 years 8 months ago
Using Linear Programming for Bayesian Exploration in Markov Decision Processes
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Pablo Samuel Castro, Doina Precup
AAAI
1998
15 years 8 months ago
Solving Very Large Weakly Coupled Markov Decision Processes
We present a technique for computing approximately optimal solutions to stochastic resource allocation problems modeled as Markov decision processes (MDPs). We exploit two key pro...
Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, L...
DSS
2008
146views more  DSS 2008»
15 years 7 months ago
Design choices for agent-based control of AGVs in the dough making process
In this paper we consider a multi-agent system (MAS) for the logistics control of Automatic Guided Vehicles (AGVs) that are used in the dough making process at an industrial baker...
Martijn Mes, Matthieu van der Heijden, Jos van Hil...
TCAD
2008
100views more  TCAD 2008»
15 years 7 months ago
Robust Clock Tree Routing in the Presence of Process Variations
Abstract--Advances in very large-scale integration technology make clock skew more susceptible to process variations. Notwithstanding efficient exact zero-skew algorithms, clock sk...
Uday Padmanabhan, Janet Meiling Wang, Jiang Hu
CIKM
2010
Springer
15 years 5 months ago
Visual cube and on-line analytical processing of images
On-Line Analytical Processing (OLAP) has shown great success in many industry applications, including sales, marketing, management, financial data analysis, etc. In this paper, w...
Xin Jin, Jiawei Han, Liangliang Cao, Jiebo Luo, Bo...