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» MDPs with Non-Deterministic Policies
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AIPS
2010
13 years 7 months ago
When Policies Can Be Trusted: Analyzing a Criteria to Identify Optimal Policies in MDPs with Unknown Model Parameters
Computing a good policy in stochastic uncertain environments with unknown dynamics and reward model parameters is a challenging task. In a number of domains, ranging from space ro...
Emma Brunskill
IWQOS
2011
Springer
12 years 7 months ago
An MDP-based admission control for a QoS-aware service-oriented system
In this paper, we address the problem of providing a service broker, which offers to prospective users a composite service with a range of different Quality of Service (QoS) class...
Marco Abundo, Valeria Cardellini, Francesco Lo Pre...
AICCSA
2008
IEEE
290views Hardware» more  AICCSA 2008»
13 years 11 months ago
Test of preemptive real-time systems
Time Petri nets with stopwatches not only model system/environment interactions and time constraints. They further enable modeling of suspend/resume operations in real-time system...
Noureddine Adjir, Pierre de Saqui-Sannes, Kamel Mu...
IJCAI
2003
13 years 6 months ago
Multiple-Goal Reinforcement Learning with Modular Sarsa(0)
We present a new algorithm, GM-Sarsa(0), for finding approximate solutions to multiple-goal reinforcement learning problems that are modeled as composite Markov decision processe...
Nathan Sprague, Dana H. Ballard
ATAL
2010
Springer
13 years 5 months ago
Incremental plan aggregation for generating policies in MDPs
Despite the recent advances in planning with MDPs, the problem of generating good policies is still hard. This paper describes a way to generate policies in MDPs by (1) determiniz...
Florent Teichteil-Königsbuch, Ugur Kuter, Gui...