V. Arnaoutis

Generalized Kalman filter based temporal difference reinforcement learning

A generalized temporal-difference reinforcement learning framework based on the theory of conditional expectations that extends classical Kalman-based temporal-difference learning to a broader class of stochastic systems and naturally extends to nonlinear models and non-Gaussian probability distributions.