This paper is about the study of B-FQI, an Approximated Value Iteration (AVI) algorithm that exploits a boosting procedure to estimate the action-value function in reinforcement learning problems. B-FQI is an iterative off-line algorithm that, given a dataset of transitions, builds an approximation of the optimal action-value function by summing the approximations of the Bellman residuals acros...

An optimized embedded 5(3) pair of explicit Runge–Kutta–Nyström methods with four stages using phase-fitted and amplification-fitted techniques is developed in this paper. The new adapted can exactly integrate (except round-off errors) the common test: y?=?w2y. local truncation error method derived, we show that order convergence maintained. stability analysis addressed, demonstrate absolutely ...

The known proofs of the inverse theorems theory approximation by trigonometric polynomials and functions exponential type are based on idea S. N. Bernstein to expand a function in series containing its best approximation. In this paper, new method establish is introduced. We simple identities that immediately imply mentioned and, moreover, with better constants. This can be applied derivatives ...