704 search results - page 15 / 141 » Learning the Ideal Evaluation Function |
FLAIRS
2003
14 years 11 months ago
2003
In this paper, we present an experimental methodology and results for a machine learning approach to learning opening strategy in the game of Go, a game for which the best compute...
ICMLA
2010
14 years 7 months ago
2010
Learning the reward function of an agent by observing its behavior is termed inverse reinforcement learning and has applications in learning from demonstration or apprenticeship l...
ICML
2001
IEEE
15 years 10 months ago
2001
IEEE
We introduce the first algorithm for off-policy temporal-difference learning that is stable with linear function approximation. Off-policy learning is of interest because it forms...
STACS
1999
Springer
15 years 1 months ago
1999
Springer
Leo Harrington surprisingly constructed a machine which can learn any computable function f according to the following criterion (called Bc∗ -identification). His machine, on t...
APLAS
2007
ACM
15 years 1 months ago
2007
ACM
We have built the first family of tagless interpretations for a higher-order typed object language in a typed metalanguage (Haskell or ML) that require no dependent types, general...