87 search results - page 6 / 18 » Hybrid Least-Squares Algorithms for Approximate Policy Evalu... |
SACMAT
2006
ACM
14 years 1 months ago
2006
ACM
We introduce the concept, model, and policy-specific algorithms for inferring new access control decisions from previous ones. Our secondary and approximate authorization model (...
AAAI
2008
13 years 10 months ago
2008
Agents often have to construct plans that obey resource limits for continuous resources whose consumption can only be characterized by probability distributions. While Markov Deci...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
This paper addresses the issue of policy evaluation in Markov Decision Processes, using linear function approximation. It provides a unified view of algorithms such as TD(), LSTD()...
WSC
1997
13 years 9 months ago
1997
We present a system for describing and solving closed queuing network models of the memory access performance of NUMA architectures. The system consists of a model description lan...