Design of restricted normalizing flow towards arbitrary stochastic policy with computational efficiency-Reference-Cited by-同舟云学术

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Design of restricted normalizing flow towards arbitrary stochastic policy with computational efficiency

Published:2023-05-13 Issue:12 Volume:37 Page:719-736
ISSN:0169-1864
Container-title:Advanced Robotics
language:en
Short-container-title:Advanced Robotics

Author:

Kobayashi Taisuke¹²^ORCID,Aotani Takumi³^ORCID

Affiliation:

1. Principles of Informatics Research Division, National Institute of Informatics, Tokyo, Japan

2. School of Multidisciplinary Sciences, Department of Informatics, The Graduate University for Advanced Studies (SOKENDAI), Tokyo, Japan

3. Department of Mechanical Engineering Informatics, School of Science and Technology, Meiji University, Kanagawa, Japan

Funder

Precursory Research for Embryonic Science and Technology

Publisher

Informa UK Limited

Subject

Computer Science Applications,Hardware and Architecture,Human-Computer Interaction,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/01691864.2023.2208634

Reference67 articles.

1. Optimized Assistive Human–Robot Interaction Using Reinforcement Learning

2. Selection Algorithm for Locomotion Based on the Evaluation of Falling Risk

3. The current state and future outlook of rescue robotics

4. Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation

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