Abstract: dynamic flexible job shop scheduling (DFJSS) is a critical combinatorial optimization problem known for its dynamic nature and flexibility of machines. Traditional scheduling methods face ...

E Network Technology Group Limited (Nasdaq: MASK) (the “Company” or “3 E Network”), a business-to-business (“B2B”) information technology (“IT”) business solutions provider, committed to becoming a ...

The control of opinion dynamics in social networks has garnered significant attention in recent years. In particular, the quest for optimal control strategies that minimize cost functions under ...

Abstract: Living organisms learn by acting on their environment, observing the resulting reward stimulus, and adjusting their actions accordingly to improve the reward. This action-based or ...

1 School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA. 2 Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA. As cloud ...

This paper explores the use of deep reinforcement learning (DRL) to enable autonomous decision-making and strategy optimization in dynamic graphical games. The proposed approach consists of several ...

The examples are nothing if not relatable: preparing breakfast, or playing a game of chess or tic-tac-toe. Yet the idea of learning from the environment and taking steps that progress toward a goal ...

A list of selected paper and possible corresponding codes in our review paper A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges. If you find there is a missed paper or a ...