v1v2 (latest)

Safe MPC Alignment with Human Directional Feedback

5 July 2024

Zhixian Xie

Wenlong Zhang

Yi Ren

Zhaoran Wang

George J. Pappas

Wanxin Jin

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Papers citing "Safe MPC Alignment with Human Directional Feedback"

33 / 33 papers shown

Title
Yell At Your Robot: Improving On-the-Fly from Language Corrections Lucy Xiaoyang Shi Zheyuan Hu Tony Zhao Archit Sharma Karl Pertsch Jianlan Luo Sergey Levine Chelsea Finn LM&Ro 127 72 0 19 Mar 2024
Distilling and Retrieving Generalizable Knowledge for Robot Manipulation via Language Corrections Lihan Zha Yuchen Cui Li-Heng Lin Minae Kwon Montse Gonzalez Arenas Andy Zeng Fei Xia Dorsa Sadigh 80 37 0 17 Nov 2023
Contrastive Preference Learning: Learning from Human Feedback without RL Joey Hejna Rafael Rafailov Harshit S. Sikchi Chelsea Finn S. Niekum W. B. Knox Dorsa Sadigh OffRL 93 55 0 20 Oct 2023
Learning Shared Safety Constraints from Multi-task Demonstrations Konwoo Kim Gokul Swamy Zuxin Liu Ding Zhao Sanjiban Choudhury Zhiwei Steven Wu 80 16 0 01 Sep 2023
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback Stephen Casper Xander Davies Claudia Shi T. Gilbert Jérémy Scheurer ... Erdem Biyik Anca Dragan David M. Krueger Dorsa Sadigh Dylan Hadfield-Menell ALM OffRL 135 529 0 27 Jul 2023
Generating Language Corrections for Teaching Physical Control Tasks Megha Srivastava Noah D. Goodman Dorsa Sadigh 55 5 0 12 Jun 2023
Learning Safety Constraints from Demonstrations with Unknown Rewards David Lindner Xin Chen Sebastian Tschiatschek Katja Hofmann Andreas Krause 50 18 0 25 May 2023
Maximum Causal Entropy Inverse Constrained Reinforcement Learning Mattijs Baert Pietro Mazzaglia Sam Leroux Pieter Simoens CML 96 10 0 04 May 2023
Active Reward Learning from Online Preferences Vivek Myers Erdem Biyik Dorsa Sadigh OffRL 73 13 0 27 Feb 2023
"No, to the Right" -- Online Language Corrections for Robotic Manipulation via Shared Autonomy Yuchen Cui Siddharth Karamcheti Raj Palleti Nidhya Shivakumar Percy Liang Dorsa Sadigh LM&Ro 89 82 0 06 Jan 2023
Few-Shot Preference Learning for Human-in-the-Loop RL Joey Hejna Dorsa Sadigh OffRL 107 100 0 06 Dec 2022
The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types Gaurav R. Ghosal M. Zurek Daniel S. Brown Anca Dragan 104 28 0 23 Aug 2022
Unified Learning from Demonstrations, Corrections, and Preferences during Physical Human-Robot Interaction Shaunak A. Mehta Dylan P. Losey 53 25 0 07 Jul 2022
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 207 256 0 20 May 2022
Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning from Demonstrations Glen Chou Hao Wang Dmitry Berenson 44 10 0 08 Dec 2021
Learning Multimodal Rewards from Rankings Vivek Myers Erdem Biyik Nima Anari Dorsa Sadigh OffRL 61 51 0 27 Sep 2021
APReL: A Library for Active Preference-based Reward Learning Algorithms Erdem Biyik Aditi Talati Dorsa Sadigh 58 37 0 16 Aug 2021
Physical Interaction as Communication: Learning Robot Objectives Online from Human Corrections Dylan P. Losey Andrea V. Bajcsy M. O'Malley Anca Dragan 44 36 0 06 Jul 2021
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training Kimin Lee Laura M. Smith Pieter Abbeel OffRL 65 288 0 09 Jun 2021
Safe Pontryagin Differentiable Programming Wanxin Jin Shaoshuai Mou George J. Pappas 78 41 0 31 May 2021
Planning for Safe Abortable Overtaking Maneuvers in Autonomous Driving Jiyo Palatti Andrei Aksjonov G. Alcan Ville Kyrki 65 22 0 31 Mar 2021
Maximum Likelihood Constraint Inference from Stochastic Demonstrations D. L. McPherson Kaylene C. Stocking S. Shankar Sastry 65 22 0 24 Feb 2021
Learning from Human Directional Corrections Wanxin Jin Todd Murphey Zehui Lu Shaoshuai Mou 96 16 0 30 Nov 2020
Inverse Constrained Reinforcement Learning Usman Anwar Shehryar Malik Alireza Aghasi Ali Ahmed 70 59 0 19 Nov 2020
Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations Glen Chou N. Ozay Dmitry Berenson 54 15 0 09 Nov 2020
Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections Andreea Bobu Andrea V. Bajcsy J. F. Fisac Sampada Deglurkar Anca Dragan 78 41 0 03 Feb 2020
Learning Constraints from Locally-Optimal Demonstrations under Cost Function Uncertainty Glen Chou N. Ozay Dmitry Berenson 50 36 0 25 Jan 2020
Learning Parametric Constraints in High Dimensions from Demonstrations Glen Chou N. Ozay Dmitry Berenson 40 19 0 08 Oct 2019
Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning D. Scobee S. Shankar Sastry 59 64 0 12 Sep 2019
Reward learning from human preferences and demonstrations in Atari Borja Ibarz Jan Leike Tobias Pohlen G. Irving Shane Legg Dario Amodei 101 397 0 15 Nov 2018
Including Uncertainty when Learning from Human Corrections Dylan P. Losey M. O'Malley 54 30 0 06 Jun 2018
Deep reinforcement learning from human preferences Paul Christiano Jan Leike Tom B. Brown Miljan Martic Shane Legg Dario Amodei 218 3,365 0 12 Jun 2017
Learning Preferences for Manipulation Tasks from Online Coactive Feedback Ashesh Jain Shikhar Sharma Thorsten Joachims Ashutosh Saxena 84 117 0 05 Jan 2016