Machine learning books and papers
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ID: @Machine_learn
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CURL: Contrastive Unsupervised Representations for Reinforcement Learning

@Machine_learn
This paper introduces a new method that significantly improves the sample efficiency of RL algorithms when learning from raw pixel data.


Paper: https://arxiv.org/abs/2004.04136.pdf
Code: https://github.com/MishaLaskin/curl


#rl #agent #reinforcement #learning
Reproducible_Bioinformatics_with_Python_by_Ken_Youens_Clark_Ken.pdf
6.2 MB
Reproducible Bioinformatics with Python
How to Write, Document, and Test Programs for
Biology
Ken Youens-Clark
#book #2021 #python #RL
@Machine_learn
lecun-20230324-nyuphil.pdf
30.5 MB
Slide: Do large language models need sensory grounding for meaning and understanding
Supervised learning (SL)
Reinforcement learning (RL)
Self-Supervised Learning (SSL)
year:2023
pages:38
tags: #DL #ML #SL #RL #SSL
@Machine_learn
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Miguel_Morales_Grokking_Deep_Reinforcement_Learning_Manning_Publications.pdf
17.3 MB
Book: 📚grokking Deep Reinforcement Learning
Authors: Miguel Morales Foreword by Charles Isbell, Jr.
year: 2020
pages: 472
Tags: #RL #DRL
@Machine_learn
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