Pretraining-finetuning Framework for Efficient Co-design: A Case Study
on Quadruped Robot Parkour

Pretraining-finetuning Framework for Efficient Co-design: A Case Study on Quadruped Robot Parkour

9 July 2024

Yue Wang

Papers citing "Pretraining-finetuning Framework for Efficient Co-design: A Case Study on Quadruped Robot Parkour"

4 / 4 papers shown

Title
Meta Reinforcement Learning for Optimal Design of Legged Robots Álvaro Belmonte-Baeza Joonho Lee Giorgio Valsecchi Marco Hutter 27 17 0 06 Oct 2022
Advanced Skills by Learning Locomotion and Local Navigation End-to-End N. Rudin David Hoeller Marko Bjelonic Marco Hutter 69 70 0 26 Sep 2022
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning N. Rudin David Hoeller Philipp Reist Marco Hutter 110 541 0 24 Sep 2021
Reinforcement Learning with Evolutionary Trajectory Generator: A General Approach for Quadrupedal Locomotion Hao-bin Shi Bo Zhou Hongsheng Zeng Fan Wang Yueqiang Dong Jiangyong Li Kang Wang Hao Tian M. Meng 37 49 0 14 Sep 2021