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» Approximating Markov Processes by Averaging
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NIPS
2008
15 years 1 months ago
Biasing Approximate Dynamic Programming with a Lower Discount Factor
Most algorithms for solving Markov decision processes rely on a discount factor, which ensures their convergence. It is generally assumed that using an artificially low discount f...
Marek Petrik, Bruno Scherrer
80
Voted
AAAI
2007
15 years 2 months ago
Compact Spectral Bases for Value Function Approximation Using Kronecker Factorization
A new spectral approach to value function approximation has recently been proposed to automatically construct basis functions from samples. Global basis functions called proto-val...
Jeffrey Johns, Sridhar Mahadevan, Chang Wang
IJCAI
2003
15 years 1 months ago
Approximating Optimal Policies for Agents with Limited Execution Resources
An agent with limited consumable execution resources needs policies that attempt to achieve good performance while respecting these limitations. Otherwise, an agent (such as a pla...
Dmitri A. Dolgov, Edmund H. Durfee
CPM
2005
Springer
206views Combinatorics» more  CPM 2005»
15 years 5 months ago
A Fast Algorithm for Approximate String Matching on Gene Sequences
Abstract. Approximate string matching is a fundamental and challenging problem in computer science, for which a fast algorithm is highly demanded in many applications including tex...
Zheng Liu, Xin Chen, James Borneman, Tao Jiang
VLSID
2008
IEEE
153views VLSI» more  VLSID 2008»
16 years 4 days ago
Total Power Minimization in Glitch-Free CMOS Circuits Considering Process Variation
Compared to subthreshold leakage, dynamic power is normally much less sensitive to the process variation due to its approximately linear relation to the process parameters. Howeve...
Yuanlin Lu, Vishwani D. Agrawal