Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion

26 October 2023

Papers citing "Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion"

7 / 7 papers shown

Title
Robust Localization, Mapping, and Navigation for Quadruped Robots Dyuman Aditya Junning Huang Nico Bohlinger Piotr Kicki Krzysztof Walas Jan Peters Matteo Luperto Davide Tateo 31 0 0 04 May 2025
One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion Nico Bohlinger Grzegorz Czechmanowski Maciej Krupka Piotr Kicki Krzysztof Walas Jan Peters Davide Tateo 50 15 0 10 Sep 2024
Detecting Unsafe Behavior in Neural Network Imitation Policies for Caregiving Robotics Andrii Tytarenko OffRL 52 0 0 29 Jul 2024
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Rameswar Panda OnRL 96 181 0 16 May 2022
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets F. Ebert Yanlai Yang Karl Schmeckpeper Bernadette Bucher G. Georgakis Kostas Daniilidis Chelsea Finn Sergey Levine 169 222 0 27 Sep 2021
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning Nikita Rudin David Hoeller Philipp Reist Marco Hutter 117 547 0 24 Sep 2021
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 157 408 0 25 Sep 2019