Suyu Wang
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View article: An Adaptive Exploration-Oriented Multi-Agent Co-Evolutionary Method Based on MATD3
An Adaptive Exploration-Oriented Multi-Agent Co-Evolutionary Method Based on MATD3 Open
As artificial intelligence continues to evolve, reinforcement learning (RL) has shown remarkable potential for solving complex sequential decision problems and is now applied in diverse areas, including robotics, autonomous vehicles, and f…
View article: Research on Dynamic Particle Swarm Optimization for Multi-Objective Reconnaissance Task Allocation of UAVs
Research on Dynamic Particle Swarm Optimization for Multi-Objective Reconnaissance Task Allocation of UAVs Open
With the increasingly widespread application of unmanned aerial vehicle (UAV) systems in disaster monitoring, urban management, logistics transportation, and reconnaissance, efficient dynamic task allocation has become a key issue in impro…
View article: Research on Robot Obstacle Avoidance and Generalization Methods Based on Fusion Policy Transfer Learning
Research on Robot Obstacle Avoidance and Generalization Methods Based on Fusion Policy Transfer Learning Open
In nature, organisms often rely on the integration of local sensory information and prior experience to flexibly adapt to complex and dynamic environments, enabling efficient path selection. This bio-inspired mechanism of perception and be…
View article: A Collaborative Multi-Agent Reinforcement Learning Approach for Non-Stationary Environments with Unknown Change Points
A Collaborative Multi-Agent Reinforcement Learning Approach for Non-Stationary Environments with Unknown Change Points Open
Reinforcement learning has achieved significant success in sequential decision-making problems but exhibits poor adaptability in non-stationary environments with unknown dynamics, a challenge particularly pronounced in multi-agent scenario…
View article: Enhancing thermal-mechanical performance of micron Ag/ZrW2O8 nanorod die-attach paste with low thermal expansion
Enhancing thermal-mechanical performance of micron Ag/ZrW2O8 nanorod die-attach paste with low thermal expansion Open
Negative thermal expansion not only challenges the traditional lattice concept, but also provides new opportunities for regulating the thermal expansion coefficient and addressing the increasing reliability demands in power device packagin…
View article: A Fast Optimal Coordination Method for Multiagent in Complex Environment
A Fast Optimal Coordination Method for Multiagent in Complex Environment Open
Facing the implementation problems such like low growth reward, long training time, and poor stability of the multiagent learning methods when dealing with complex environment and more agents, this paper proposes a fast optimal coordinatio…
View article: Development of high thermal conductivity of Ag/diamond composite sintering paste and its thermal shock reliability evaluation in SiC power modules
Development of high thermal conductivity of Ag/diamond composite sintering paste and its thermal shock reliability evaluation in SiC power modules Open
Diamond has the highest thermal conductivity among naturally occurring materials and a relatively low coefficient of thermal expansion (CTE), making it a promising interconnected material for next-generation semiconductor power devices. In…
View article: Interfacial microstructures and corrosion behavior of tungsten heavy alloy/superalloy dissimilar joints: design, regulation and mechanism
Interfacial microstructures and corrosion behavior of tungsten heavy alloy/superalloy dissimilar joints: design, regulation and mechanism Open
The interfacial microstructures and corrosion behavior of tungsten heavy alloy/superalloy dissimilar joints brazed with various Cu–Ti based multicomponent amorphous alloys were investigated by time-varying chemical bath immersion tests and…
View article: A Multi-Agent Adaptive Co-Evolution Method in Dynamic Environments
A Multi-Agent Adaptive Co-Evolution Method in Dynamic Environments Open
It is challenging to ensure satisfying co-evolution efficiency for the multi-agents in dynamic environments since during Actor-Critic training there is a high probability of falling into local optimality, failing to adapt to the suddenly c…
View article: Non-Uniform Input-Based Adaptive Growing Neural Gas for Unstructured Environment Map Construction
Non-Uniform Input-Based Adaptive Growing Neural Gas for Unstructured Environment Map Construction Open
The research and development of special robots such as excavation robots is an important way to achieve safe and efficient production in coal mines. Affected by the unstructured environment such as complex working conditions and unsteady f…
View article: A Quick Search Dynamic Vector-Evaluated Particle Swarm Optimization Algorithm Based on Fitness Distance
A Quick Search Dynamic Vector-Evaluated Particle Swarm Optimization Algorithm Based on Fitness Distance Open
A quick search dynamic vector-evaluated particle swarm optimization algorithm based on fitness distance (DVEPSO/FD) is proposed according to the fact that some dynamic multi-objective optimization methods, such as the DVEPSO, cannot achiev…
View article: Corporate Green Development Strategy Under the Carbon Peaking and Carbon Neutrality Goals
Corporate Green Development Strategy Under the Carbon Peaking and Carbon Neutrality Goals Open
How can enterprises control energy consumption and carbon emissions within a reasonable range in their business
activities while ensuring a certain amount of economic output, and achieve green and low-carbon products or services as much …
View article: A Multi-Agent Motion Prediction and Tracking Method Based on Non-Cooperative Equilibrium
A Multi-Agent Motion Prediction and Tracking Method Based on Non-Cooperative Equilibrium Open
A Multi-Agent Motion Prediction and Tracking method based on non-cooperative equilibrium (MPT-NCE) is proposed according to the fact that some multi-agent intelligent evolution methods, like the MADDPG, lack adaptability facing unfamiliar …
View article: An Interactive Self-Learning Game and Evolutionary Approach Based on Non-Cooperative Equilibrium
An Interactive Self-Learning Game and Evolutionary Approach Based on Non-Cooperative Equilibrium Open
Most current studies on multi-agent evolution based on deep learning take a cooperative equilibrium strategy, while interactive self-learning is not always considered. An interactive self-learning game and evolution method based on non-coo…
View article: A Comparative Study on the Treatment of Eutrophic Water by Aeration and Algae Fish
A Comparative Study on the Treatment of Eutrophic Water by Aeration and Algae Fish Open
With the introduction of relevant national policies, large numbers of environmental projects were carried out for remediation and quality improved, but in the main indicators of long-term quality control and operational cost are still a bi…
View article: ZnO Nanoparticles Anchored on a N-Doped Graphene-Coated Separator for High Performance Lithium/Sulfur Batteries
ZnO Nanoparticles Anchored on a N-Doped Graphene-Coated Separator for High Performance Lithium/Sulfur Batteries Open
Fabrication of a nanocrystalline zinc oxide (ZnO)/nitrogen-doped graphene (NDG) composite using a novel and facile in situ sol-gel technique is demonstrated in this study. A two-dimensional nanostructured morphology with uniform ZnO nanopa…