The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning

6 May 2024

Papers citing "The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning"

20 / 20 papers shown

Title
Towards Uncertainty Unification: A Case Study for Preference Learning Shaoting Peng Haonan Chen Katherine Driggs-Campbell 78 1 0 25 Mar 2025
Agile Mobility with Rapid Online Adaptation via Meta-learning and Uncertainty-aware MPPI Dvij Kalaria Haoru Xue Wenli Xiao Tony Tao Guanya Shi John M. Dolan 62 2 0 09 Oct 2024
Guarantees on Robot System Performance Using Stochastic Simulation Rollouts Joseph A. Vincent Aaron O. Feldman Mac Schwager 65 6 0 19 Sep 2023
Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields Lily Goli Cody Reading Silvia Sellán Alec Jacobson Andrea Tagliasacchi BDL UQCV 69 59 0 06 Sep 2023
Benchmarks and Algorithms for Offline Preference-Based Reward Learning Daniel Shin Anca Dragan Daniel S. Brown OffRL 52 56 0 03 Jan 2023
RAP: Risk-Aware Prediction for Robust Planning Haruki Nishimura Jean Mercat Blake Wulfe R. McAllister Adrien Gaidon OOD 71 18 0 04 Oct 2022
Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning Bertrand Charpentier Ransalu Senanayake Mykel Kochenderfer Stephan Günnemann PER UD 61 25 0 03 Jun 2022
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks Chengshu Li Fei Xia Roberto Martín-Martín Michael Lingelbach S. Srivastava ... Karen Liu H. Gweon Jiajun Wu Li Fei-Fei Silvio Savarese LM&Ro 182 227 0 06 Aug 2021
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification Anastasios Nikolas Angelopoulos Stephen Bates OOD 144 607 0 15 Jul 2021
Habitat 2.0: Training Home Assistants to Rearrange their Habitat Andrew Szot Alexander Clegg Eric Undersander Erik Wijmans Yili Zhao ... Z. Kira V. Koltun Jitendra Malik Manolis Savva Dhruv Batra LM&Ro 78 509 0 28 Jun 2021
PLGRIM: Hierarchical Value Learning for Large-scale Exploration in Unknown Environments Sung-Kyun Kim Amanda Bouman G. Salhotra David D. Fan K. Otsu J. W. Burdick Ali-akbar Agha-mohammadi 44 49 0 10 Feb 2021
Out-of-Distribution Detection for Automotive Perception Julia Nitsch Masha Itkina Ransalu Senanayake Juan I. Nieto M. Schmidt Roland Siegwart Mykel J. Kochenderfer Cesar Cadena UQCV 47 63 0 03 Nov 2020
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF Atanas Mirchev Baris Kayalibay Patrick van der Smagt Justin Bayer BDL DRL 44 9 0 17 Jun 2020
Active Preference-Based Gaussian Process Regression for Reward Learning Erdem Biyik Nicolas Huynh Mykel J. Kochenderfer Dorsa Sadigh GP 54 107 0 06 May 2020
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 139 1,677 0 06 Jun 2019
Approximate Bayesian inference in spatial environments Atanas Mirchev Baris Kayalibay Maximilian Soelch Patrick van der Smagt Justin Bayer BDL 98 22 0 18 May 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 171 907 0 28 Feb 2018
FaSTrack: a Modular Framework for Fast and Guaranteed Safe Motion Planning Sylvia Herbert Mo Chen Soojean Han Somil Bansal J. F. Fisac Claire Tomlin 46 236 0 21 Mar 2017
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 61 1,082 0 16 Aug 2016
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 196 882 0 06 Nov 2015