A discrete and q asymptotic iteration method

Asymptotic iteration method for eigenvalue problems

An asymptotic interation method for solving second-order homogeneous linear differential equations of the form y = λ0(x)y ′ + s0(x)y is introduced, where λ0(x) 6= 0 and s0(x) are C∞ functions. Applications to Schrödinger type problems, including some with highly singular potentials, are presented. PACS 03.65.Ge Asymptotic iteration method for eigenvalue problems page 2

Variational Iteration Method for q-Difference Equations of Second Order

Boosted Fitted Q-Iteration

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...

Empirical Q-Value Iteration

We propose a new simple and natural algorithm for learning the optimal Q-value function of a discounted-cost Markov Decision Process (MDP) when the transition kernels are unknown. Unlike the classical learning algorithms for MDPs, such as Q-learning and ‘actor-critic’ algorithms, this algorithm doesn’t depend on a stochastic approximation-based method. We show that our algorithm, which we call ...

Discrete Asymptotic

We obtain six-terms exact sequences for E-theory and KK-theory which involve discrete asymptotic homomorphisms, and generalize the extension of groups from the UCT theorem.