5/6/2023 0 Comments Tc2000 for mac![]() ![]() ![]() They describe a system that exhibits both stochastic and controlled behavior. Markov Decision Processes (MDPs) are a standard model for stochastic dynamic optimization.The history of the process (action, observation sequence) - (Problem: grows exponentially, not suitable for infinite horizon problems) - A probability distribution over states - oThe memory of a finite-state controller π V. A key difference between bandits and Markov decision processes is that the agent must consider the long-term impact of its actions. A Markov decision process captures and formalizes these two aspects of real-world problems. ![]()
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