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Reinforcing Learning Based on Maximum Entropy Models
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The problem of decision-making that is generally optimal, often in relation to the availability of a forecasting capacity, is relevant for the application of techniques and models of Artificial Intelligence in areas as diverse as robotics and finance (Sargent and Stachurski 2024). Although decision-making typically relates to the present, the possibility of delaying the making of a specific decision, reserving us the right to take it (or not to …
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