181 search results - page 10 / 37 » On Policy Learning in Restricted Policy Spaces |
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Policy evaluation is a critical step in the approximate solution of large Markov decision processes (MDPs), typically requiring O(|S|3 ) to directly solve the Bellman system of |S...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Viola and Jones (VJ) cascade classification methods have proven to be very successful in detecting objects belonging to a single class -- e.g., faces. This paper addresses the mor...
NCI
2004
13 years 9 months ago
2004
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
ML
2002
ACM
13 years 7 months ago
2002
ACM
Abstract. The problemof state abstractionis of centralimportancein optimalcontrol,reinforcement learning and Markov decision processes. This paper studies the case of variable reso...
NIPS
2001
13 years 9 months ago
2001
In packet switches, packets queue at switch inputs and contend for outputs. The contention arbitration policy directly affects switch performance. The best policy depends on the c...