A PAC-Bayes method supplies high-probability bounds on the cost of any learned stochastic controller for unknown linear systems and gives efficient algorithms that work for both finite and infinite controller sets, including unbounded quadratic costs.
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A PAC-Bayes Approach for Controlling Unknown Linear Discrete-time Systems
A PAC-Bayes method supplies high-probability bounds on the cost of any learned stochastic controller for unknown linear systems and gives efficient algorithms that work for both finite and infinite controller sets, including unbounded quadratic costs.