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» Transfer Learning and Intelligence: an Argument and Approach
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ILP
2007
Springer
14 years 1 months ago
Relational Macros for Transfer in Reinforcement Learning
We describe an application of inductive logic programming to transfer learning. Transfer learning is the use of knowledge learned in a source task to improve learning in a related ...
Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richa...
FLAIRS
1998
13 years 9 months ago
Optimizing Production Manufacturing Using Reinforcement Learning
Manyindustrial processes involve makingparts with an assemblyof machines, where each machinecarries out an operation on a part, and the finished product requires a wholeseries of ...
Sridhar Mahadevan, Georgios Theocharous
AAAI
2011
12 years 7 months ago
Transportability of Causal and Statistical Relations: A Formal Approach
We address the problem of transferring information learned from experiments to a different environment, in which only passive observations can be collected. We introduce a formal ...
Judea Pearl, Elias Bareinboim
HAIS
2008
Springer
13 years 8 months ago
An Evolutionary Approach for Tuning Artificial Neural Network Parameters
The widespread use of artificial neural networks and the difficult work regarding the correct specification (tuning) of parameters for a given problem are the main aspects that mot...
Leandro M. Almeida, Teresa Bernarda Ludermir
ECAL
2007
Springer
14 years 1 months ago
On the Adaptive Disadvantage of Lamarckianism in Rapidly Changing Environments
Using a simple simulation model of evolution and learning this paper provides some evolutionary arguments on why Lamarckianlike inheritance - direct transfer of lifetime learning r...
Ingo Paenke, Bernhard Sendhoff, Jon Rowe, Chrisant...