656 search results - page 35 / 132 » Complexity of finite-horizon Markov decision process problem... |
111
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AAAI
2004
15 years 3 months ago
2004
The search for finite-state controllers for partially observable Markov decision processes (POMDPs) is often based on approaches like gradient ascent, attractive because of their ...
125
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CORR
2006
Springer
15 years 1 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()...
114
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IPCO
2008
15 years 3 months ago
2008
We study the stochastic machine replenishment problem, which is a canonical special case of closed multiclass queuing systems in Markov decision theory. The problem models the sche...
142
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ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
We consider the problem of energy-efficient point-to-point transmission of delay-sensitive data (e.g. multimedia data) over a fading channel. We propose a rigorous and unified fra...
123
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ICML
2001
IEEE
16 years 2 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...