DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning-Reference-Cited by-同舟云学术

DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep 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:

Aswin Nahrendra I Made¹,Yu Byeongho¹,Myung Hyun¹

Affiliation:

1. School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST),Daejeon,Republic of Korea,34141

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161144.pdf?arnumber=10161144

Reference39 articles.

1. Learning robust perceptive locomotion for quadrupedal robots in the wild

2. Fast and accurate deep network learning by exponential linear units (ELUs);clevert;Proc International Conference on Learning Representations (ICLR),0

3. Learning to walk in minutes using massively parallel deep reinforcement learning;rudin;Proc Conference on Robot Learning (CoRL),0

4. On Information and Sufficiency

5. Visual-locomotion: Learning to walk on complex terrains with vision;yu;Proc Conference on Robot Learning (CoRL),0

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