Since the popularisation of the Internet in the 1990s, the cyberspace has kept evolving. We
have created various computer-mediated virtual environments including social networks …

Imitation learning techniques aim to mimic human behavior in a given task. An agent (a
learning machine) is trained to perform a task from demonstrations by learning a mapping …

The Metaverse allows the integration of physical and digital versions of users, processes,
and environments where entities communicate, transact, and socialize. With the shift …

We propose an end-to-end machine learning model that integrates multi-task (MT) learning,
convolutional neural networks (CNNs), and control algorithms to achieve efficient inference …

We address the problem of making general video game playing agents play in a human-like
manner. To this end, we introduce several modifications of the UCT formula used in Monte …

In this paper, we propose a driving assistant companion system that provides drivers with
useful information using a long short-term memory network in a data-driven fashion. Our …

Car-following (CF) models are an appealing research area because they fundamentally
describe the longitudinal interactions of vehicles and contribute substantially to an …

To optimize the operation of a heating, ventilation, and air-conditioning (HVAC) system with
advanced techniques such as artificial neural network (ANN), previous studies usually need …

Future vehicles may drive automatically in a human-like manner or contain systems that
monitor human driving ability. Algorithms of these systems must have knowledge of criteria …

Autonomous cars control the steering wheel, acceleration and the brake pedal, the gears
and the clutch using sensory information from multiple sources. Like a human driver, it …