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What is Markov Decision Process (MDP)?
1:02
YouTubeData Science Made Easy
What is Markov Decision Process (MDP)?
A Markov Decision Process (MDP) is the mathematical foundation of how agents make decisions. It assumes the agent always knows the full state of the environment and chooses actions to maximize long-term rewards. An MDP has five parts: states (S), actions (A), transition probabilities (T) that describe how actions change the state, rewards (R ...
4 天之前
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Prof. Christophe Andrieu | On the ordering of some nonreversible Markov chain and Markov
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