Curricular Robust Reinforcement Learning via GAN-Based Perturbation Through Continuously Scheduled Task Sequence
Author:
Affiliation:
1. Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University,Beijing,China,100044
Funder
National Natural Science Foundation of China
Publisher
Tsinghua University Press
Subject
Multidisciplinary
Link
http://xplorestaging.ieee.org/ielx7/5971803/9836992/09837021.pdf?arnumber=9837021
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. Reset-Free Reinforcement Learning via Multi-State Recovery and Failure Prevention for Autonomous Robots;Tsinghua Science and Technology;2024-10
2. Effect of Convulsion Layers and Hyper-parameters on the Behavior of Adversarial Neural Networks;Enterprise Information Systems;2023
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