Advanced Skills through Multiple Adversarial Motion Priors in Reinforcement Learning-Reference-Cited by-同舟云学术

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Advanced Skills through Multiple Adversarial Motion Priors in Reinforcement Learning

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Vollenweider Eric¹,Bjelonic Marko¹,Klemm Victor¹,Rudin Nikita¹,Lee Joonho¹,Hutter Marco¹

Affiliation:

1. ETH Zürich,Robotic Systems Lab,Zürich,Switzerland,8092

Funder

Swiss National Science Foundation (SNF)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10160211/10160212/10160751.pdf?arnumber=10160751

Reference23 articles.

1. Apprenticeship learning via inverse reinforcement learning

2. Learning quadrupedal locomotion over challenging terrain

3. Learning agile and dynamic motor skills for legged robots

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1. A survey of demonstration learning;Robotics and Autonomous Systems;2024-12

2. Adaptive Skill Selection for Effective Exploration of Action Space;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Impedance Matching: Enabling an RL-Based Running Jump in a Quadruped Robot;2024 21st International Conference on Ubiquitous Robots (UR);2024-06-24

4. A Study of Reinforcement Learning Techniques for Path Tracking in Autonomous Vehicles;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

5. Learning Advanced Locomotion for Quadrupedal Robots: A Distributed Multi-Agent Reinforcement Learning Framework with Riemannian Motion Policies;Robotics;2024-05-28

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