Partially Observable Markov Decision Processes (POMDPs)
What is a Partially Observable Markov Decision Process? Finite number of discrete states Probabilistic transitions between states and controllable actions Next state determined only by the current state and current action We’re unsure which state we’re in The current state emits observations Rewards: S1 = 10, S2 = 0 Do not know state:
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