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    쭌스🎄

    쭌스🎄

    I earned my BS degree in Computer Science and Data Science at the University of Wisconsin-Madison, and I am currently pursuing my PhD in AI at SNU.

    I am broadly interested in reinforcement learning, deep learning, model compression/optimization, and hyper-scale AI. The main objective of my study is to build a reliable, efficient, and expansive AI/ML system for sustainable development.

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    Reinforcement Learning - Q-Learning 알고리즘

    최대 1 분 소요

    쭌스log

    • Code

    Q-Learning 알고리즘을 활용한 예제이다.

    이 프로젝트는 Q-Learning 알고리즘을 이해하고 있다는 전제로 진행한다.

    Code

    [Notice] download here

    태그: Q-learning, Reinforcement Learning

    카테고리: RL

    업데이트: 2022-08-14

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    참고

    2023.02.22

    [논문분석] AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models

    AIPaperLightWeight AlphaTuning Model Compression Pruning Quantization

    2023.02.21

    [강화학습] Marcov Decision Process (MDP) 이해하기

    RL MDP Reinforcement Learning

    2023.02.20

    [강화학습] Q-Learning 이해하기

    RL Q-Learning Reinforcement Learning

    2023.02.17

    Self/Semi-supervised Learning for Scene Text Recognition

    Others Scene Text Recognition Self/Semi Supervised Learning

    2023.02.15

    DenseNet, SqueezeNet, MobileNet 이해하기

    LightWeight DenseNet MobileNet Quantization SqueezeNet

    2023.02.14

    Meta, Transfer, Multi-task, Continual Learning 차이

    LightWeight Continual Learning Meta Learning Multi-task Learning Transfer Learning

    2023.02.14

    Auto Encoder(오토 인코더) 이해하기

    LightWeight AutoEncoder Compression

    2023.02.14

    [논문분석] XNOR-NET

    AIPaperLightWeight Binarization Light-weight Model Compression XNOR

    2023.02.14

    [논문분석] Teaching Assistant Knowledge Distillation

    AIPaperLightWeight Knowledge Distillation Light-weight Model Compression

    2023.02.13

    Quantization 기본기 다지기

    LightWeight Non-uniform PTQ QAT Quantization Uniform
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