Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Every parameter matters: Ensuring the convergence of federated learning with dynamic heterogeneous models reduction
Abstract Cross-device Federated Learning (FL) faces significant challenges where low-end
clients that could potentially make unique contributions are excluded from training large …
clients that could potentially make unique contributions are excluded from training large …
Pre-trained large language models for industrial control
A versatile multi-agent reinforcement learning benchmark for inventory management
Multi-agent reinforcement learning (MARL) models multiple agents that interact and learn
within a shared environment. This paradigm is applicable to various industrial scenarios …
within a shared environment. This paradigm is applicable to various industrial scenarios …
Data-driven dynamic pricing and inventory management of an omni-channel retailer in an uncertain demand environment
In recent years, omni-channel retailing has become immensely popular among both retailers
and consumers. In this approach, retailers often leverage their brick-and-mortar stores to …
and consumers. In this approach, retailers often leverage their brick-and-mortar stores to …
Seismonet: A proximal policy optimization-based earthquake early warning system using dilated convolution layers and online data augmentation
Abstract In seismic safety, Earthquake Early Warning (EEW) systems are indispensable for
mitigating earthquake hazards. These systems strive to quickly evaluate earthquake …
mitigating earthquake hazards. These systems strive to quickly evaluate earthquake …
Whittle index with multiple actions and state constraint for inventory management
Whittle index is a heuristic tool that leads to good performance for the restless bandits
problem. In this paper, we extend Whittle index to a new multi-agent reinforcement learning …
problem. In this paper, we extend Whittle index to a new multi-agent reinforcement learning …
Neural inventory control in networks via hindsight differentiable policy optimization
We argue that inventory management presents unique opportunities for reliably applying
and evaluating deep reinforcement learning (DRL). Toward reliable application, we …
and evaluating deep reinforcement learning (DRL). Toward reliable application, we …
[PDF][PDF] Multi-Agent Alternate Q-Learning
Cooperative multi-agent reinforcement learning (MARL) is a wellabstracted model for a
broad range of real applications, including logistics [10], traffic signal control [33], power …
broad range of real applications, including logistics [10], traffic signal control [33], power …
Cooperative multi-agent reinforcement learning for inventory management
Abstract With Reinforcement Learning (RL) for inventory management (IM) being a nascent
field of research, approaches tend to be limited to simple, linear environments with …
field of research, approaches tend to be limited to simple, linear environments with …
Research on Applications of Virtual Power Plants for Power Grid Peak-shaving Under Inertia Constraints
X Jiang, Y Liu, J Wu, D Hu - 2023 13th International …, 2023 - ieeexplore.ieee.org
Large-scale influx of renewable energy into current electric power grid increases risks
regarding frequency instability and makes power grid peak-shaving knotty. The solution lies …
regarding frequency instability and makes power grid peak-shaving knotty. The solution lies …