Efficient Solution Algorithms for Factored MDPs
نویسندگان
چکیده
منابع مشابه
Efficient Solution Algorithms for Factored MDPs
This paper addresses the problem of planning under uncertainty in large Markov Decision Processes (MDPs). Factored MDPs represent a complex state space using state variables and the transition model using a dynamic Bayesian network. This representation often allows an exponential reduction in the representation size of structured MDPs, but the complexity of exact solution algorithms for such MD...
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In reinforcement learning, the state of the real world is often represented by feature vectors. However, not all of the features may be pertinent for solving the current task. We propose Feature Selection Explore and Exploit (FS-EE), an algorithm that automatically selects the necessary features while learning a Factored Markov Decision Process, and prove that under mild assumptions, its sample...
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Most traditional approaches to probabilistic planning in relationally specified MDPs rely on grounding the problem w.r.t. specific domain instantiations, thereby incurring a combinatorial blowup in the representation. An alternative approach is to lift a relational MDP to a firstorder MDP (FOMDP) specification and develop solution approaches that avoid grounding. Unfortunately, state-of-the-art...
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ژورنال
عنوان ژورنال: Journal of Artificial Intelligence Research
سال: 2003
ISSN: 1076-9757
DOI: 10.1613/jair.1000