On the relation between Bayesian inference and certain solvable problems of stochastic control
published: Oct. 9, 2008, recorded: September 2008, views: 345
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Optimal control for nonlinear stochastic dynamical systems requires thesolution of a nonlinear PDE, the so - called Hamilton Jacobi Bellman equation.Recently, Bert Kappen and Emanuel Todorov have shown that for certain types of cost functions, this equationcan be transformed to a linear problem which is mathematically related to a Bayesian estimation problem. This has led to novel efficient algorithms for optimal control of such systems. I will show a simple proof for this surprising result and discuss some possible implications.
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