2820 search results - page 298 / 564 » Learning from Scarce Experience |
191
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SMC
2007
IEEE
16 years 28 days ago
2007
IEEE
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
164
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ILP
1999
Springer
15 years 11 months ago
1999
Springer
This paper presents an application of Inductive Logic Programming (ILP) and Backpropagation Neural Network (BNN) to the problem of Thai character recognition. In such a learning pr...
216
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NIPS
2008
15 years 8 months ago
2008
This paper addresses the important tradeoff between privacy and learnability, when designing algorithms for learning from private databases. We focus on privacy-preserving logisti...
184
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SOCROB
2010
2010
Using the Interaction Rhythm as a Natural Reinforcement Signal for Social Robots: A Matter of Belief
15 years 5 months ago
Abstract. In this paper, we present the results of a pilot study of a human robot interaction experiment where the rhythm of the interaction is used as a reinforcement signal to le...
204
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EUSFLAT
2009
15 years 4 months ago
2009
The aim of this paper is to propose a new Kalman Filter Recurrent Neural Network (KFRNN) topology and a recursive Levenberg-Marquardt (L-M) algorithm of its learning capable to est...