Learning to Identify Critical States for Reinforcement Learning from Videos-Reference-Cited by-同舟云学术

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Learning to Identify Critical States for Reinforcement Learning from Videos

Published:2023-10-01 Issue: Volume:34 Page:1955-1965
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Liu Haozhe¹,Zhuge Mingchen¹,Li Bing¹,Wang Yuhui¹,Faccio Francesco¹,Ghanem Bernard¹,Schmidhuber Jürgen¹

Affiliation:

1. King Abdullah University of Science and Technology,AI Initiative

Funder

European Research Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377719.pdf?arnumber=10377719

Reference73 articles.

1. Rudder: Return decomposition for delayed rewards;Arjona-Medina;NIPS,2019

2. Neural machine translation by jointly learning to align and translate;Bahdanau;ICLR,2015

3. Verifiable reinforcement learning via policy extraction;Bastani;NIPS,2018

4. Understanding the role of individual units in a deep neural network

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mask-Attention A3C: Visual Explanation of Action–State Value in Deep Reinforcement Learning;IEEE Access;2024

2. Unsupervised State Encoding in Video Sequences Using $$\beta $$-Variational Autoencoders;Communications in Computer and Information Science;2024

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