Memory-efficient distribution-guided experience sampling for policy consolidation-Reference-Cited by-同舟云学术

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Memory-efficient distribution-guided experience sampling for policy consolidation

Published:2022-12 Issue: Volume:164 Page:126-131
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Huang Fuxian,Li Weichao,Lin Yining,Ji Naye^ORCID,Li Shijian,Li Xi

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Zhejiang Province Public Welfare Technology Application Research Project

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference30 articles.

1. Robust experience replay sampling for multi-agent reinforcement learning;Nicholaus;Pattern Recognit. Lett.,2022

2. Blind decision making: reinforcement learning with delayed observations;Agarwal;Pattern Recognit. Lett.,2021

3. DQN-based gradual fisheye image rectification;Zhao;Pattern Recognit. Lett.,2021

4. A model-based reinforcement learning method based on conditional generative adversarial networks;Zhao;Pattern Recognit. Lett.,2021

5. Discriminative sampling via deep reinforcement learning for kinship verification;Wang;Pattern Recognit. Lett.,2020

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