This paper investigates Reinforcement Learning (RL) as an algorithmic method to obtain the policy automatically. We define the KLM as an Markov Decision Process ...

Jan 1, 2019 · RL-KLM offers a quick way to obtain a global upper bound for user performance. It opens up new possibilities to use KLM in computational ...

This paper investigates Reinforcement Learning (RL) as an algorithmic method to obtain the policy automatically. We define the KLM as an Markov Decision Process ...

RL-KLM automates KLM modeling with Reinforcement Learning for User Interface evaluation. KLM models are suited to evaluate point-and-click type of the user ...

This paper investigates Reinforcement Learning (RL) as an algorithmic method to obtain the policy automatically. We define the KLM as an Markov Decision Process ...

This paper investigates Reinforcement Learning (RL) as an algorithmic method to obtain the policy automatically. We define the KLM as an Markov Decision Process ...

Mar 25, 2019 · This document proposes using reinforcement learning to automate keystroke-level modeling (RL-KLM). Keystroke-level modeling is traditionally used to predict ...

RL-KLM: Automating Keystroke-level Modeling with Reinforcement Learning ; Parent publication type. Conference. Article type ; Peer-reviewed. Peer-Reviewed ...

This demonstration shows how a policy is automatically learned by RL-KLM in form-filling tasks, and offers a quick way to obtain an upper bound for user ...

RL-KLM: Automating Keystroke-level Modeling with Reinforcement Learning · Julkaisuvuosi · Tekijät · Organisaatiot ja tekijät. Näytä tarkemmin · Julkaisutyyppi ...