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Markov Decision Processes with Ordinal Rewards: Reference Point-Based Preferences
Paul Weng
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Oznake: computer science;artificial intelligence;planning and scheduling
In a standard Markov decision process (MDP), rewards are assumed to be precisely known and of quantitative nature. This can be a too strong hypothesis in some situations. When rewards can really be modeled numerically, specifying the reward function is often difficult as it is a cognitively-demandin ...
Leto: 2011 Vir: videolectures.net
Št. zadetkov: 1
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