682 search results - page 99 / 137 » One-Counter Markov Decision Processes |
127
Voted
GLOBECOM
2010
IEEE
14 years 10 months ago
2010
IEEE
Abstract--Proper admission control in cognitive radio networks is critical in providing QoS guarantees to secondary unlicensed users. In this paper, we study the admission control ...
131
Voted
ISAAC
2010
Springer
14 years 10 months ago
2010
Springer
Howard's policy iteration algorithm is one of the most widely used algorithms for finding optimal policies for controlling Markov Decision Processes (MDPs). When applied to we...
92
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Basis functions derived from an undirected graph connecting nearby samples from a Markov decision process (MDP) have proven useful for approximating value functions. The success o...
109
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ICML
2001
IEEE
16 years 1 months ago
2001
IEEE
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
94
Voted
ALDT
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. Several schemes have been proposed for compactly representing multiattribute utility functions, yet none seems to achieve the level of success achieved by Bayesian and Ma...