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noviceforever
  • About me
  • Miscellaneous
    • Introduction
      • 커리어 요약
      • 데이터 과학이란?
  • Machine Learning
    • Tabular Data
      • XGBoost Algorithm Overview
      • TabNet Overview
      • Imbalanced Learning
        • Introduction
        • Oversampling Basic (SMOTE variants)
        • Undersampling Basic
        • Cost-sensitive Learning
        • RBF(Radial Basis Function)-based Approach
    • Computer Vision (CNN-based)
      • [Hands-on] Fast Training ImageNet on on-demand EC2 GPU instances with Horovod
      • R-CNN(Regions with Convolutional Neuron Networks)
      • Fast R-CNN
      • Faster R-CNN
      • Mask R-CNN
      • YOLO (You Only Look Once)
      • YOLO v2(YOLO 9000) Better, Faster, Stronger
      • YOLO v3
      • SSD (Single Shot Multibox Detector)
      • Data Augmentation Tips
    • Computer Vision (Transformer-based)
      • ViT for Image Classification
      • DeiT (Training Data-efficient Image Transformers & Distillation through Attention)
      • DETR for Object Detection
      • Zero-Shot Text-to-Image Generation (DALL-E) - Paper Review
    • Natural Language Processing
      • QRNN(Quasi-Recurrent Neural Network)
      • Transformer is All You Need
      • BERT(Bi-directional Encoder Representations from Transformers)
      • DistilBERT, a distilled version of BERT
      • [Hands-on] Fine Tuning Naver Movie Review Sentiment Classification with KoBERT using GluonNLP
      • OpenAI GPT-2
      • XLNet: Generalized Autoregressive Pretraining for Language Understanding
    • Recommendation System
      • Recommendation System Overview
      • Learning to Rank
      • T-REC(Towards Accurate Bug Triage for Technical Groups) 논문 리뷰
    • Reinforcement Learning
      • MAB(Multi-Armed Bandits) Overview
      • MAB Algorithm Benchmarking
      • MAB(Multi-Armed Bandits) Analysis
      • Policy Gradient Overview
    • IoT on AWS
      • MXNet Installation on NVIDIA Jetson Nano
      • Neo-DLR on NVIDIA Jetson Nano
    • Distributed Training
      • Data Parallelism Overview
      • SageMaker's Data Parallelism Library
      • SageMaker's Model Parallelism Library
    • Deployment
      • MobileNet V1/V2/V3 Overview
      • TensorRT Overview
      • Multi Model Server and SageMaker Multi-Model Endpoint Overview
  • AWS AIML
    • Amazon Personalize
      • Amazon Personalize - User Personalization Algorithm Deep Dive
      • Amazon Personalize Updates(~2021.04) 및 FAQ
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  1. Machine Learning
  2. Reinforcement Learning

MAB(Multi-Armed Bandits) Overview

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Last updated 3 years ago

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MAB Overview

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mab_demo_2_benchmark.pdf
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