Abstract: This paper is concerned with the problem of policy evaluation with linear function approximation in discounted infinite horizon Markov decision processes ...
Abstract: We study reinforcement learning with linear function approximation and finite-memory approximations for partially observed Markov decision processes (POMDPs). We first present an algorithm ...
A council of administrators and instructional leaders have rejected a teacher’s offer to teach Multivariable Calculus at Palo Alto High School – a blow to students and parents who have advocated for ...
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