Deep reinforcement learning has been successfully applied to the generation of goal-
directed behavior in artificial agents. However, existing algorithms are often not designed to …

Abstract Machine learning-based techniques have shown great promises in perception,
prediction, planning, and general decision-making for improving task performance of …

Offline reinforcement learning (RL) aims to learn effective policies from recorded data
without further interactions in the environments that are often costly or risky. Model-based …

In recent years, the field of autonomous and intelligent vehicle systems has grown
immensely with the recent advances in components, design, and implementation techniques …

6D 位姿估计技术在工业机器人, 虚拟现实和餐饮服务等领域已经成为关键性的技术.
它的发展逐渐由离线方式发展到端到端的方式. 这主要因为随着深度学习技术的发展, 促进了6D …

Advances in Computers, Volume presents innovations in computer hardware, software,
theory, design and applications, with this updated volume including new chapters on …

Real-time applications always have security issues present in their ecosystem which needs
to be improved. Blockchain technology can be considered as a solution that can ensure …

Due to the rapid development of autonomous driving technology, efficient mathematical
optimization engines are required to improve the performance of autonomous vehicles in …

In recent years, the use of Unmanned Aerial Vehicles (UAVs) equipped with Mobile Edge
Computing (MEC) servers to provide computational resources to mobile devices (MDs) has …

In recent years, active object tracking (AOT), which is a distinct technology from passive
target tracking, has made significant advances in the field of artificial intelligence. AOT aims …