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Examen
Markov Decision Processes Finals V2
Ma-rk-ov Decision Processes Fin V2
Ma-rk-ov Decision Processes Fin V2
Markov Decision Processes Finals V2 A Markov Process is a process in which all states do not depend on previous actions. ️️True, Markov means that you don't have to condition on anything past the most recent state. A Markov Decision Process is a set of Markov Property Compliant states, with rewards and values. Decaying Reward encourages the agent to end the game quickly instead of running around and gathering more reward ️️True, as reward decays the total reward for the epis...
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