As the global carbon emission problem is getting more and more serious, the European
Union has proposed the Carbon Border Adjustment Mechanism (CBAM) to prevent carbon …

Credit assignment poses a significant challenge in heterogeneous multi-agent
reinforcement learning (MARL) when tackling fully cooperative tasks. Existing MARL …

This study addresses the challenge of intelligent decision‐making for command‐and‐control
systems in air defense combat operations. Current autonomous decision‐making systems …

In the context of the new economic development in the post-pandemic era," play" labor as an
important component of digital work has become an inexhaustible driving force for the …

In this paper, we provide a review of cyber-physical systems (CPSs) and explore the
applications of Multi-Agent Systems (MAS), Multi-Agent Reinforcement Learning (MARL) …

In recent years, the spread of Multi-agent Systems (MAS) and Reinforcement Learning (RL)
as a subdomain of Machine Learning (ML) has affected many fields, such as Cyber-Physical …

Multi-agent systems (MAS) have become increasingly used in addressing complex
problems that require collaboration and coordination between multiple entities. In the …

The “14th Five‐Year” development plan of the construction industry of the Chinese
government makes it clear that intelligent buildings are the general direction of future …

The fuel economy of the plug-in hybrid vehicle is controlled by the Energy Management
Strategy, in autonomous driving. The coupling between the energy management and auto …