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FORMATS
2006
Springer
11 years 9 months ago
A Characterization of Meaningful Schedulers for Continuous-Time Markov Decision Processes
Abstract. Continuous-time Markov decision process are an important variant of labelled transition systems having nondeterminism through labels and stochasticity through exponential...
Nicolás Wolovick, Sven Johr
CORR
2010
Springer
101views Education» more  CORR 2010»
11 years 5 months ago
Finite Optimal Control for Time-Bounded Reachability in CTMDPs and Continuous-Time Markov Games
We establish the existence of optimal scheduling strategies for time-bounded reachability in continuous-time Markov decision processes, and of co-optimal strategies for continuous-...
Markus Rabe, Sven Schewe
ICML
2001
IEEE
12 years 6 months ago
Continuous-Time Hierarchical Reinforcement Learning
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...
Mohammad Ghavamzadeh, Sridhar Mahadevan
JSAC
2008
95views more  JSAC 2008»
11 years 3 months ago
Cognitive Medium Access: Constraining Interference Based on Experimental Models
In this paper we design a cognitive radio that can coexist with multiple parallel WLAN channels while abiding by an interference constraint. The interaction between both systems is...
Stefan Geirhofer, Lang Tong, Brian M. Sadler
ECAI
1998
Springer
11 years 9 months ago
Optimal Scheduling of Dynamic Progressive Processing
Progressive processing allows a system to satisfy a set of requests under time pressure by limiting the amount of processing allocated to each task based on a predefined hierarchic...
Abdel-Illah Mouaddib, Shlomo Zilberstein
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