449 search results - page 40 / 90 » Finding Structure in Reinforcement Learning |
131
Voted
ICCS
1993
Springer
15 years 7 months ago
1993
Springer
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....
108
Voted
CORR
2010
Springer
15 years 3 months ago
2010
Springer
Sparse methods for supervised learning aim at finding good linear predictors from as few variables as possible, i.e., with small cardinality of their supports. This combinatorial ...
151
Voted
Publication
Abstract: Several approximate policy iteration schemes without value functions, which focus on policy representation using classifiers and address policy learning as a supervis...
144
Voted
EWCBR
2008
Springer
15 years 5 months ago
2008
Springer
In this paper we propose an approach to address the old problem of identifying the feature conditions under which a gaming strategy can be effective. For doing this, we will build ...
114
Voted
ML
2002
ACM
15 years 3 months ago
2002
ACM
Reinforcement learning policies face the exploration versus exploitation dilemma, i.e. the search for a balance between exploring the environment to find profitable actions while t...