548 search results - page 26 / 110 » A New Way to Introduce Knowledge into Reinforcement Learning |
97
Voted
JAIR
2011
14 years 6 months ago
2011
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
107
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NIPS
2008
15 years 1 months ago
2008
Uncertainty is omnipresent when we perceive or interact with our environment, and the Bayesian framework provides computational methods for dealing with it. Mathematical models fo...
102
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IJCAI
2007
15 years 1 months ago
2007
The goal of transfer learning is to use the knowledge acquired in a set of source tasks to improve performance in a related but previously unseen target task. In this paper, we pr...
ISCAS
2006
IEEE
15 years 5 months ago
2006
IEEE
— This paper describes a general approach for the unsupervised learning of behaviors in a behavior-based robot. The key idea is to formalize a behavior produced by a Motor Map dr...
NIME
2004
Springer
15 years 5 months ago
2004
Springer
When envisaging new digital instruments, designers do not have to limit themselves to their sonic capabilities (which can be absolutely any), not even to their algorithmic power; ...