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» An Introduction to Transfer Learning
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IWINAC
2007
Springer
14 years 4 months ago
Requirements for Machine Lifelong Learning
A significant advance in inductive modelling are systems that retain learned knowledge and selectively transfer portions of that knowledge as a source of inductive bias. We defi...
Daniel L. Silver, Ryan Poirier
IJKL
2007
67views more  IJKL 2007»
13 years 9 months ago
Knowledge flow management supporting complex problem solving: learning spectrum and its infrastructure
: Knowledge Management (KM) concerns innovating, spreading, sharing and using of knowledge assets. Dynamic knowledge flow management consists of cognition-compliant knowledge trans...
Wan-Chun Dou, Xiping Liu, Guihai Chen, S. C. Cheun...
TSMC
2002
128views more  TSMC 2002»
13 years 9 months ago
Imitation with ALICE: learning to imitate corresponding actions across dissimilar embodiments
Imitation is a powerful mechanism whereby knowledge may be transferred between agents (both biological and artificial). Key problems on the topic of imitation have emerged in vario...
Aris Alissandrakis, Chrystopher L. Nehaniv, Kersti...
KI
2007
Springer
14 years 4 months ago
Making a Robot Learn to Play Soccer Using Reward and Punishment
In this paper, we show how reinforcement learning can be applied to real robots to achieve optimal robot behavior. As example, we enable an autonomous soccer robot to learn interce...
Heiko Müller, Martin Lauer, Roland Hafner, Sa...
NIPS
1997
13 years 11 months ago
Reinforcement Learning with Hierarchies of Machines
We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...
Ronald Parr, Stuart J. Russell