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The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a collection of random variables. Factored Reinforcement Learning (FRL) is an Model-based Reinforcement Learning approach to FMDPs w ...
Leto: 2009 Vir: videolectures.net
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Oznake: computer science;machine learning;reinforcement learning
Factored Reinforcement Learning (FRL) is a method to solve Factored Markov Decision Processes when the structure of the transition and reward functions of the problem must be learned. In this paper, we present TeXDYNA, an algorithm that combines the abstraction techniques of Semi-Markov Decision Pro ...
Leto: 2009 Vir: videolectures.net
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Oznake: biokemija;osteoporoza;lipidi;kostne celice;
Osteosarcoma cells and undifferentiated human mesenchymal stromal cells are more susceptible to ferroptosis than differentiated human mesenchymal stromal cells
Leto: 2025 Vir: Kemijski inštitut (KI)
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