Blockchain is emerging as a promising candidate for the uberization of Internet services. It is
a decentralized, secure, and auditable solution for exchanging, and authenticating …

A video prediction model that generalizes to diverse scenes would enable intelligent agents
such as robots to perform a variety of tasks via planning with the model. However, while …

We consider the problem of estimating the transition probability kernel to be used by a
model-based reinforcement learning (RL) algorithm. We argue that estimating a generative …

The paper provides the readers with the knowledge of how reinforcement learning (RL)
applications can be applied in medical diagnosis and healthcare. RL is a powerful and …

We consider the uncalibrated vision-based control problem of robotic manipulators in this
work. Though lots of approaches have been proposed to solve this problem, they usually …

This paper addresses robust estimation of the uncalibrated visual-motor Jacobian for an
image-based visual servoing (IBVS) system. The proposed method does not require …

In this study, knowledge of multiple controllers was used and combined with deep
reinforcement learning (RL) to train a visual servoing (VS) technique. Deep RL algorithms …

The amount of new information is constantly increasing, faster than our ability to fully
interpret and utilize it to improve human experiences. Addressing this asymmetry requires …

Regularization in Reinforcement Learning Page 1 University of Alberta Regularization in
Reinforcement Learning by Amir-massoud Farahmand A thesis submitted to the Faculty of …

This study proposes an optimized hybrid visual servoing approach to overcome the
imperfections of classical two-dimensional, three-dimensional and hybrid visual servoing …