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Hierarchical Deep Reinforcement Learning for Robots

Journal of the Robotics Society of Japan, 2021
openaire   +1 more source

Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia

IEEE Transactions on Neural Networks and Learning Systems
This article aims to provide a hierarchical reinforcement learning (RL)-based solution to the automated drug infusion field. The learning policy is divided into the tasks of: 1) learning trajectory generative model and 2) planning policy model. The proposed deep infusion assistant policy gradient (DIAPG) model draws inspiration from adversarial ...
Won Joon Yun   +4 more
openaire   +2 more sources

Obstacle Avoidance Algorithm via Hierarchical Interaction Deep Reinforcement Learning

2022 41st Chinese Control Conference (CCC), 2022
Zihao Ding, Chunlei Song, Jianhua Xu
openaire   +1 more source

Hierarchical Task and Motion Planning through Deep Reinforcement Learning

2021 Fifth IEEE International Conference on Robotic Computing (IRC), 2021
Abdullah Al Redwan Newaz, Tauhidul Alam
openaire   +1 more source

Standalone Robot Control System Using Hierarchical Deep Reinforcement Learning

The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec), 2022
Yuuki FUJISAKI, Hiroyuki KOBAYASHI
openaire   +1 more source

Fast Robot Hierarchical Exploration Based on Deep Reinforcement Learning

2023 International Wireless Communications and Mobile Computing (IWCMC), 2023
Shun Zuo   +3 more
openaire   +1 more source

Deep Eutectic Solvents: A Review of Fundamentals and Applications

Chemical Reviews, 2021
Brian Chen, Yong Zhang, Jeffrey M Klein
exaly  

Soft wearable devices for deep-tissue sensing

Nature Reviews Materials, 2022
Muyang Lin, Hongjie Hu, Sai Zhou
exaly  

Deep neural networks for the evaluation and design of photonic devices

Nature Reviews Materials, 2020
Jiaqi Jiang   +2 more
exaly  

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