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09/21/2023
UAV Swarm Deployment and Trajectory for 3D Area Coverage via Reinforcement Learning
Unmanned aerial vehicles (UAVs) are recognized as promising technologies...
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09/02/2023
ASF-Net: Robust Video Deraining via Temporal Alignment and Online Adaptive Learning
In recent times, learning-based methods for video deraining have demonst...
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05/25/2023
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning
In the field of quantitative trading, it is common practice to transform...
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03/21/2023
Style Miner: Find Significant and Stable Explanatory Factors in Time Series with Constrained Reinforcement Learning
In high-dimensional time-series analysis, it is essential to have a set ...
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11/14/2022
Functional Split of In-Network Deep Learning for 6G: A Feasibility Study
In existing mobile network systems, the data plane (DP) is mainly consid...
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07/22/2022
Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution
Optimal execution is a sequential decision-making problem for cost-savin...
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12/07/2021
In-Network Processing for Low-Latency Industrial Anomaly Detection in Softwarized Networks
Modern manufacturers are currently undertaking the integration of novel ...
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04/01/2021
Channel Measurement and Path-Loss Characterization for Low-Terahertz Indoor Scenarios
TeraHertz (THz) communications are envisioned as a promising technology,...
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10/10/2020
Trust the Model When It Is Confident: Masked Model-based Actor-Critic
It is a popular belief that model-based Reinforcement Learning (RL) is m...
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10/11/2019
Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning
Existing multi-view learning methods based on kernel function either req...
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10/10/2019
