326 search results - page 24 / 66 » Reinforcement Learning Based on On-Line EM Algorithm |
ICANNGA
2007
Springer
15 years 4 months ago
2007
Springer
Reinforcement Learning (RL) is analyzed here as a tool for control system optimization. State and action spaces are assumed to be continuous. Time is assumed to be discrete, yet th...
ICPR
2006
IEEE
15 years 11 months ago
2006
IEEE
Correspondence algorithms typically struggle with shapes that display part-based variation. We present a probabilistic approach that matches shapes using independent part transfor...
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ML
2008
ACM
14 years 9 months ago
2008
ACM
Abstract. We consider batch reinforcement learning problems in continuous space, expected total discounted-reward Markovian Decision Problems. As opposed to previous theoretical wo...
KES
2007
Springer
15 years 3 months ago
2007
Springer
In this paper we propose a financial trading system whose strategy is developed by means of an artificial neural network approach based on a recurrent reinforcement learning algo...
ICMLA
2007
14 years 11 months ago
2007
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...