7378 search results - page 384 / 1476 » Introduction to Machine Learning |
188
click to vote
ICML
2005
IEEE
16 years 8 months ago
2005
IEEE
Several algorithms for learning near-optimal policies in Markov Decision Processes have been analyzed and proven efficient. Empirical results have suggested that Model-based Inter...
208
Voted
ICML
2005
IEEE
16 years 8 months ago
2005
IEEE
It is common in classification methods to first place data in a vector space and then learn decision boundaries. We propose reversing that process: for fixed decision boundaries, ...
184
Voted
ICML
2004
IEEE
16 years 8 months ago
2004
IEEE
Motivated by the interest in relational reinforcement learning, we introduce a novel relational Bellman update operator called ReBel. It employs a constraint logic programming lan...
166
Voted
ICML
2003
IEEE
16 years 8 months ago
2003
IEEE
Relativized options combine model minimization methods and a hierarchical reinforcement learning framework to derive compact reduced representations of a related family of tasks. ...
171
Voted
ICALT
2009
IEEE
16 years 2 months ago
2009
IEEE
This paper reports developments on a best description template for teaching methods, whose descriptive elements will eventually be mapped to the elements of the IMS Learning Desig...