research
∙
09/14/2020
Hellinger KL-UCB based Bandit Algorithms for Markovian and i.i.d. Settings
In the regret-based formulation of multi-armed bandit (MAB) problems, ex...
share
research
∙
12/21/2019
Online Reinforcement Learning of Optimal Threshold Policies for Markov Decision Processes
Markov Decision Process (MDP) problems can be solved using Dynamic Progr...
research
∙
11/28/2018
A Structure-aware Online Learning Algorithm for Markov Decision Processes
To overcome the curse of dimensionality and curse of modeling in Dynamic...
research
∙
10/25/2017
An Energy-Aware WLAN Discovery Scheme for LTE HetNet
Recently, there has been significant interest in the integration and co-...
research
∙
10/23/2017
