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Examen
Reinforcement Learning + Markov Decision Processes
Reinforcement Learning + Markov Decision Processes 
Reinforcement learning generally ️️given inputs x and outputs z but the outputs are used to 
predict a secondary output y and function with the input 
y=f(x) z 
Markov Decision Process ️️in reinforcement learning we want our agent to learn a ___ ___ ___. 
For this we need to discretize the states, the time and the actions. 
states in MDP ️️states are the set of tokens that represent every state that one could be in (can 
incl...