2011 search results - page 18 / 403 » Universal Reinforcement Learning |
128
Voted
NIPS
2004
15 years 4 months ago
2004
Successful application of reinforcement learning algorithms often involves considerable hand-crafting of the necessary non-linear features to reduce the complexity of the value fu...
113
Voted
AAAI
2010
15 years 4 months ago
2010
115
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IJCAI
2007
15 years 4 months ago
2007
Deictic representation is a representational paradigm, based on selective attention and pointers, that allows an agent to learn and reason about rich complex environments. In this...
146
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ICCBR
2009
Springer
15 years 9 months ago
2009
Springer
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Reinforcement Learning algorithms, combining Case Based Reasoning (CBR) and ...
117
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ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...