[1805.00909] Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review

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View PDF HTML (experimental) Abstract:The framework of reinforcement learning or optimal control provides a mathematical formalization of intelligent decision making that is powerful and broadly applicable. While the general form of the reinforcement learning problem enables effective reasoning about uncertainty, the connection between reinforcement learning and inference in probabilistic models is not immediately obvious. However, such a connection has considerable value when it comes to algorithm design: formalizing a problem as probabilistic inference in principle allows us to bring to…

[1805.00909] Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review

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