The new generation of artificial intelligence (AI), called AI 2.0, has recently become a
research focus. Data‐driven AI 2.0 will accelerate the development of smart energy and …

Advanced information technologies, such as artificial intelligence (AI) and big data analytics,
along with global navigation systems and the Internet of Things (IoT), are increasingly …

Deep reinforcement learning (DRL) has made great achievements since proposed.
Generally, DRL agents receive high-dimensional inputs at each step, and make actions …

Real-time strategy games have been an important field of game artificial intelligence in
recent years. This paper presents a reinforcement learning and curriculum transfer learning …

Autonomous driving decision-making is a great challenge due to the complexity and
uncertainty of the traffic environment. Combined with the rule-based constraints, a Deep Q …

Sustainable manufacturing is a global front-burner issue oriented to the sustainable
development of humanity and society. In this context, this paper takes the human-robot …

In this paper, a deep reinforcement learning-based energy optimization management
method for hydrogen-electric coupling system is proposed for the conversion and utilization …

Deep reinforcement learning (DRL), combining the perception capability of deep learning
(DL) and the decision-making capability of reinforcement learning (RL)[1], has been widely …

In the context of Automated Vehicles, the Automated Lane Change system, is fundamentally
based upon the separate constructs of Perception, Decision making, Trajectory Planning …

This research focuses on the adaptive navigation of maritime autonomous surface ships
(MASSs) in an uncertain environment. To achieve intelligent obstacle avoidance of MASSs …