EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning

22 July 2018

Katherine Driggs-Campbell

Mykel J. Kochenderfer

Papers citing "EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning"

40 / 40 papers shown

Title
REALM: Real-Time Estimates of Assistance for Learned Models in Human-Robot Interaction Michael Hagenow Julie Shah 39 0 0 12 Apr 2025
MILE: Model-based Intervention Learning Yigit Korkmaz Erdem Bıyık 102 2 0 21 Feb 2025
Learning from Active Human Involvement through Proxy Value Propagation Zhenghao Peng Wenjie Mo Chenda Duan Quanyi Li Bolei Zhou 114 14 0 05 Feb 2025
Early Failure Detection in Autonomous Surgical Soft-Tissue Manipulation via Uncertainty Quantification Jordan Thompson Ronald Koe Anthony Le Gabriella Goodman Daniel S. Brown Alan Kuntz 60 2 0 17 Jan 2025
Efficient Active Imitation Learning with Random Network Distillation Emilien Biré Anthony Kobanda Ludovic Denoyer Rémy Portelas 46 1 0 04 Nov 2024
Diff-DAgger: Uncertainty Estimation with Diffusion Policy for Robotic Manipulation Sung-Wook Lee Yen-Ling Kuo Yen-Ling Kuo 34 4 0 18 Oct 2024
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback Michelle Zhao Reid G. Simmons H. Admoni Aaditya Ramdas Andrea Bajcsy 54 4 0 11 Oct 2024
RL, but don't do anything I wouldn't do Michael K. Cohen Marcus Hutter Yoshua Bengio Stuart J. Russell OffRL 40 2 0 08 Oct 2024
Incremental Learning for Robot Shared Autonomy Yiran Tao Guixiu Qiao Dan Ding Zackory Erickson CLL 43 0 0 08 Oct 2024
Stable-BC: Controlling Covariate Shift with Stable Behavior Cloning Shaunak A. Mehta Yusuf Umut Ciftci Balamurugan Ramachandran Somil Bansal Dylan P. Losey OffRL 28 5 0 12 Aug 2024
VIEW: Visual Imitation Learning with Waypoints Ananth Jonnavittula Sagar Parekh Dylan P. Losey SSL 91 10 0 27 Apr 2024
RT-H: Action Hierarchies Using Language Suneel Belkhale Tianli Ding Ted Xiao P. Sermanet Quon Vuong Jonathan Tompson Yevgen Chebotar Debidatta Dwibedi Dorsa Sadigh LM&Ro 50 79 0 04 Mar 2024
Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms Yichen Li Chicheng Zhang OffRL 40 0 0 28 Dec 2023
RLIF: Interactive Imitation Learning as Reinforcement Learning Jianlan Luo Perry Dong Yuexiang Zhai Yi Ma Sergey Levine OffRL 38 15 0 21 Nov 2023
Constrained Exploration in Reinforcement Learning with Optimality Preservation Peter C. Y. Chen 16 0 0 05 Apr 2023
Learning to Explore Informative Trajectories and Samples for Embodied Perception Ya Jing Tao Kong 32 5 0 20 Mar 2023
MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts Xiatao Sun Shuo Yang Mingyan Zhou Kunpeng Liu Rahul Mangharam OffRL 18 13 0 01 Mar 2023
Active Reward Learning from Online Preferences Vivek Myers Erdem Biyik Dorsa Sadigh OffRL 42 12 0 27 Feb 2023
Imitating careful experts to avoid catastrophic events J.R.P. Hanslope Laurence Aitchison OffRL 41 0 0 02 Feb 2023
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection Shivin Dass Karl Pertsch Hejia Zhang Youngwoon Lee Joseph J. Lim Stefanos Nikolaidis 53 14 0 09 Dec 2022
PARTNR: Pick and place Ambiguity Resolving by Trustworthy iNteractive leaRning Jelle Luijkx Zlatan Ajanović L. Ferranti Jens Kober 26 3 0 15 Nov 2022
A Joint Imitation-Reinforcement Learning Framework for Reduced Baseline Regret Sheelabhadra Dey Sumedh Pendurkar Guni Sharon Josiah P. Hanna 24 10 0 20 Sep 2022
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving at Unsignalized Intersections Shivesh Khaitan John M. Dolan SSL 24 17 0 10 Jul 2022
Wrapping Haptic Displays Around Robot Arms to Communicate Learning Antonio Alvarez Valdivia Soheil Habibian Carly Mendenhall Francesco Fuentes Ritish Shailly Dylan P. Losey Laura H. Blumenschein 24 8 0 07 Jul 2022
Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision Ryan Hoque Lawrence Yunliang Chen Satvik Sharma K. Dharmarajan Brijen Thananjeyan Pieter Abbeel Ken Goldberg 35 30 0 29 Jun 2022
SARI: Shared Autonomy across Repeated Interaction Ananth Jonnavittula Shaunak A. Mehta Dylan P. Losey 40 10 0 19 May 2022
Safe Reinforcement Learning with Chance-constrained Model Predictive Control Samuel Pfrommer Tanmay Gautam Alec Zhou Somayeh Sojoudi 28 24 0 27 Dec 2021
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation J. Wong Albert Tung Andrey Kurenkov Ajay Mandlekar Li Fei-Fei Silvio Savarese Roberto Martín-Martín 26 54 0 09 Dec 2021
Trajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain Stefan Wapnick Travis Manderson David Meger Gregory Dudek 40 5 0 09 Dec 2021
Wrapped Haptic Display for Communicating Physical Robot Learning Antonio Alvarez Valdivia Ritish Shailly Naman Seth Francesco Fuentes Dylan P. Losey Laura H. Blumenschein 36 4 0 08 Nov 2021
Improving Robot-Centric Learning from Demonstration via Personalized Embeddings Mariah L. Schrum Erin K. Hedlund Matthew C. Gombolay 26 5 0 07 Oct 2021
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning Ryan Hoque Ashwin Balakrishna Ellen R. Novoseller Albert Wilcox Daniel S. Brown Ken Goldberg 40 84 0 17 Sep 2021
Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration Christian Ellis Maggie B. Wigness J. Rogers Craig T. Lennon L. Fiondella 90 6 0 31 Jul 2021
SkiffOS: Minimal Cross-compiled Linux for Embedded Containers Christian Stewart 41 8 0 31 Mar 2021
Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations Glen Chou N. Ozay Dmitry Berenson 42 15 0 09 Nov 2020
Sample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation Yunus Bicer Ali Alizadeh N. K. Üre Ahmetcan Erdogan Orkun Kizilirmak 13 13 0 29 Jul 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences Daniel S. Brown Russell Coleman R. Srinivasan S. Niekum BDL 39 101 0 21 Feb 2020
HG-DAgger: Interactive Imitation Learning with Human Experts Michael Kelly Chelsea Sidrane Katherine Driggs-Campbell Mykel J. Kochenderfer OffRL 22 219 0 05 Oct 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 278 5,695 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 289 9,167 0 06 Jun 2015