Efficient Multi-Task Learning via Iterated Single-Task Transfer-Reference-Cited by-同舟云学术

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Efficient Multi-Task Learning via Iterated Single-Task Transfer

Published:2022-10-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Zentner K.R.¹,Puri Ujjwal¹,Zhang Yulun¹,Julian Ryan¹,Sukhatme Gaurav S.²

Affiliation:

1. University of Southern California,Department of Computer Science,Los Angeles,CA,90089

2. USC and as an Amazon Scholar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981244.pdf?arnumber=9981244

Reference50 articles.

1. Effective reinforcement learning for mobile robots

2. Playing atari with deep reinforcement learning;mnih;ArXiv Preprint,2013

3. An Introduction to Deep Reinforcement Learning

4. Automatic programming of behavior-based robots using reinforcement learning

Cited by 3 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. Industrial robot arm dynamic modeling simulation and variable-gain iterative learning control strategy design;Journal of Mechanical Science and Technology;2024-07

2. Leveraging the efficiency of multi-task robot manipulation via task-evoked planner and reinforcement learning;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Multi-Task Reinforcement Learning With Attention-Based Mixture of Experts;IEEE Robotics and Automation Letters;2023-06

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