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ML
2008
ACM
152views Machine Learning» more  ML 2008»
15 years 6 months ago
Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path
Abstract. We consider batch reinforcement learning problems in continuous space, expected total discounted-reward Markovian Decision Problems. As opposed to previous theoretical wo...
András Antos, Csaba Szepesvári, R&ea...
JSAT
2006
114views more  JSAT 2006»
15 years 6 months ago
Semidefinite Optimization Approaches for Satisfiability and Maximum-Satisfiability Problems
Semidefinite optimization, commonly referred to as semidefinite programming, has been a remarkably active area of research in optimization during the last decade. For combinatoria...
Miguel F. Anjos
NAR
2008
73views more  NAR 2008»
15 years 6 months ago
LocalMove: computing on-lattice fits for biopolymers
Given an input Protein Data Bank file (PDB) for a protein or RNA molecule, LocalMove is a web server that determines an on-lattice representation for the input biomolecule. The we...
Yann Ponty, R. Istrate, E. Porcelli, Peter Clote
NCA
2008
IEEE
15 years 6 months ago
Neurodynamic programming: a case study of the traveling salesman problem
The paper focuses on the study of solving the large-scale traveling salesman problem (TSP) based on neurodynamic programming. From this perspective, two methods, temporal differenc...
Jia Ma, Tao Yang, Zeng-Guang Hou, Min Tan, Derong ...
NPL
2008
130views more  NPL 2008»
15 years 6 months ago
Adaptive Inverse Control of Excitation System with Actuator Uncertainty
: - This paper addresses an inverse controller design for excitation system with changing parameters and nonsmooth nonlinearities in the actuator. The existence of such nonlinearit...
Xiaofang Yuan, Yaonan Wang, Liang-Hong Wu
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