181 search results - page 24 / 37 » On Policy Learning in Restricted Policy Spaces |
NIPS
1997
13 years 9 months ago
1997
We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
PKC
2009
Springer
14 years 8 months ago
2009
Springer
In this work, we consider the task of allowing a content provider to enforce complex access control policies on oblivious protocols conducted with anonymous users. As our primary ...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
We consider the exploration/exploitation problem in reinforcement learning (RL). The Bayesian approach to model-based RL offers an elegant solution to this problem, by considering...
SPW
2005
Springer
14 years 1 months ago
2005
Springer
This paper recounts some lessons that we learned from the deployment of host-to-host IPsec in a large corporate network. Several security issues arise from mismatches between the d...