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Session 7: MDPs, Action, Value, Reward functions, Bellman Equations 1, Examples
Автор: Mainak's PMRF Tutorials
Загружено: Дата премьеры: 7 апр. 2025 г.
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Описание:
In this video, we introduce the Markov Decision Processes (MDPs). We define its conditional distribution and derive expressions for 1-step reward functions, Value functions, and Q-value functions.
Next, we express the Value function and the Q-function and derive the Bellman equation for policy evaluation. Finally, we end by verifying the optimality equation with a Gridworld example.
Materials: https://drive.google.com/drive/folder...
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