Multi-Scenario Combination Based on Multi-Agent Reinforcement Learning to Optimize the Advertising Recommendation System
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Abstract (arXiv)
This paper explores multi-scenario optimization on large platforms using multi-agent reinforcement learning (MARL). We address this by treating scenarios like search, recommendation, and advertising as a cooperative, partially observable multi-agent decision problem. We introduce the Multi-Agent Recurrent Deterministic Policy Gradient (MARDPG) algorithm, which aligns different scenarios under a shared objective and allows for strategy communication to boost overall performance. Our results show marked improvements in metrics such as click-through rate (CTR), conversion rate, and total sales, confirming our method's efficacy in practical settings.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 12 of its 21 references that are in the map. First posted on arXiv 3 Jul 2024.
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12 of 21 references.
References · 12
- 2023Deception Detection from Linguistic and Physiological Data Streams Using Bimodal Convolutional Neural Networkscited by 54
- 2021Pareto Self-Supervised Training for Few-Shot Learningcited by 52
- 2020Large-Scale Object Detection in the Wild from Imbalanced Multi-Labelscited by 35
- 2021GAIA: A Transfer Learning System of Object Detection that Fits Your Needscited by 27
- 2024Large Language Model (LLM) AI text generation detection based on transformer deep learning algorithmcited by 23
- 2023Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networkscited by 22
- 2024Automatic News Generation and Fact-Checking System Based on Language Processingcited by 22
- 2024Enhanced Detection Classification via Clustering SVM for Various Robot Collaboration Taskcited by 17
- 2024DeepGI: An Automated Approach for Gastrointestinal Tract Segmentation in MRI Scanscited by 13
- 2024Development and Application of a Monte Carlo Tree Search Algorithm for Simulating Da Vinci Code Game Strategiescited by 8
- 2024AD-Aligning: Emulating Human-like Generalization for Cognitive Domain Adaptation in Deep Learningcited by 8
- 2024AI-Generated Text Detection and Classification Based on BERT Deep Learning Algorithmcited by 8
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Citing papers per year: 2024: 5.
5 papers.
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- 2024Innovative Deep Learning Techniques for Obstacle Recognition: A Comparative Study of Modern Detection Algorithmscited by 0
- 2024Cutting-Edge Detection of Fatigue in Drivers: A Comparative Study of Object Detection Modelscited by 0
- 2024Dynamic Optimization of Storage Systems Using Reinforcement Learning Techniques29 Dec 2024
- 2024Cutting-Edge Detection of Fatigue in Drivers: A Comparative Study of Object Detection Models19 Oct 2024
- 2024Innovative Deep Learning Techniques for Obstacle Recognition: A Comparative Study of Modern Detection Algorithms14 Oct 2024
- 2024Enhanced Credit Score Prediction Using Ensemble Deep Learning Model30 Sep 2024
- 2024Transforming Movie Recommendations with Advanced Machine Learning: A Study of NMF, SVD,and K-Means Clustering12 Jul 2024