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COLT
2003
Springer
16 years 7 days ago
Learning with Rigorous Support Vector Machines
We examine the so-called rigorous support vector machine (RSVM) approach proposed by Vapnik (1998). The formulation of RSVM is derived by explicitly implementing the structural ris...
Jinbo Bi, Vladimir Vapnik
ICMLA
2007
15 years 8 months ago
Control of a re-entrant line manufacturing model with a reinforcement learning approach
This paper presents the application of a reinforcement learning (RL) approach for the near-optimal control of a re-entrant line manufacturing (RLM) model. The RL approach utilizes...
José A. Ramírez-Hernández, Em...
146
Voted
ACE
2004
161views Education» more  ACE 2004»
15 years 8 months ago
Flexible Learning - Maximising Flexibility in a Subject with Large Student Numbers
In providing the introductory computing subject (topic) Information Technology 1A to approximately 800 students per annum in three different modes, a number of delivery mechanisms...
Robert Goodwin, Neville Williams
ATAL
2010
Springer
15 years 8 months ago
Basis function construction for hierarchical reinforcement learning
This paper introduces an approach to automatic basis function construction for Hierarchical Reinforcement Learning (HRL) tasks. We describe some considerations that arise when con...
Sarah Osentoski, Sridhar Mahadevan
201
Voted
ATAL
2009
Springer
16 years 1 months ago
An empirical analysis of value function-based and policy search reinforcement learning
In several agent-oriented scenarios in the real world, an autonomous agent that is situated in an unknown environment must learn through a process of trial and error to take actio...
Shivaram Kalyanakrishnan, Peter Stone