Multi-objective optimization algorithm for microgrid energy dispatch based on reinforcement learning
Abstract: This study proposes a multi-objective scheduling optimization algorithm based on reinforcement learning. This method constructs a deep reinforcement learning framework with Actor-Critic as ...
1 Key Laboratory of Fluid and Power Machinery, Xihua University, Ministry of Education, Chengdu, China 2 State Key Laboratory of Hydroscience and Department of Energy and Power Engineering, Tsinghua ...
This repository contains the code for the design and optimization of trajectories specifically for Mars Ascent Vehicles (MAVs), using a Multi-Objective Trajectory Optimization (MOTO) framework, with ...
Abstract: The development of orthopedic robots for epiphyseal surgery is still in its nascent stages, with lacking considerations for autonomous path planning and biological force. The objective of ...
School of Information Engineering, Qujing Normal University, Qujing, China. Tourism development in emerging destinations requires balancing economic benefits with ecological sustainability. In this ...
Neural network pruning is a key technique for deploying artificial intelligence (AI) models based on deep neural networks (DNNs) on resource-constrained platforms, such as mobile devices. However, ...
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