2 citations · 2 across the 4 of their papers we have counts for
6 papers
Thompson Sampling for Linear Bandit Problems with Normal-Gamma Priors
Björn Lindenberg, Karl-Olof Lindahl
We consider Thompson sampling for linear bandit problems with finitely many independent arms, where rewards are sampled from normal distributions that are linearly dependent on unk…
Conjugated Discrete Distributions for Distributional Reinforcement Learning
Björn Lindenberg, Jonas Nordqvist, Karl-Olof Lindahl
In this work we continue to build upon recent advances in reinforcement learning for finite Markov processes. A common approach among previous existing algorithms, both single-acto…
Distributional Reinforcement Learning with Ensembles
Björn Lindenberg, Jonas Nordqvist, Karl-Olof Lindahl
It is well known that ensemble methods often provide enhanced performance in reinforcement learning. In this paper, we explore this concept further by using group-aided training wi…
Geometric location of periodic points of 2-ramified power series
Karl-Olof Lindahl, Jonas Nordqvist
In this paper we study the geometric location of periodic points of power series defined over fields of prime characteristic . More specifically, we find a lower bound for the a…
Estimates of linearization discs in -adic dynamics with application to ergodicity
Karl-Olof Lindahl
We give lower bounds for the size of linearization discs for power series over . For quadratic maps, and certain power series containing a `sufficiently large' quadra…
On ergodic behavior of -adic dynamical systems
Matthias Gundlach, Andrei Khrennikov, Karl-Olof Lindahl
Monomial mappings, , are topologically transitive and ergodic with respect to Haar measure on the unit circle in the complex plane. In this paper we obtain an anologo…