Roll-Drop: accounting for observation noise with a single parameter

25 April 2023

Papers citing "Roll-Drop: accounting for observation noise with a single parameter"

5 / 5 papers shown

Title
Learning and Deploying Robust Locomotion Policies with Minimal Dynamics Randomization Luigi Campanaro Siddhant Gangapurwala W. Merkt Ioannis Havoutis 50 13 0 26 Sep 2022
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning N. Rudin David Hoeller Philipp Reist Marco Hutter 113 544 0 24 Sep 2021
Multi-expert learning of adaptive legged locomotion Chuanyu Yang Kai Yuan Qiuguo Zhu Wanming Yu Zhibin Li 105 184 0 10 Dec 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,634 0 03 Jul 2012