Asking Easy Questions: A User-Friendly Approach to Active Reward Learning

10 October 2019

Dorsa Sadigh

Papers citing "Asking Easy Questions: A User-Friendly Approach to Active Reward Learning"

28 / 28 papers shown

Title
Towards Uncertainty Unification: A Case Study for Preference Learning Shaoting Peng Haonan Chen Katherine Driggs-Campbell 56 0 0 25 Mar 2025
Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation N. Dennler Stefanos Nikolaidis Maja J. Matarić 198 0 0 03 Jan 2025
Preference Elicitation for Offline Reinforcement Learning Alizée Pace Bernhard Schölkopf Gunnar Rätsch Giorgia Ramponi OffRL 69 1 0 26 Jun 2024
Inverse Risk-sensitive Multi-Robot Task Allocation Guangyao Shi Gaurav Sukhatme 31 0 0 14 Jun 2024
A Generalized Acquisition Function for Preference-based Reward Learning Evan Ellis Gaurav R. Ghosal Stuart J. Russell Anca Dragan Erdem Biyik 42 2 0 09 Mar 2024
Scalarizing Multi-Objective Robot Planning Problems using Weighted Maximization Nils Wilde Stephen L. Smith Javier Alonso-Mora 27 4 0 12 Dec 2023
Cognitive Architectures for Language Agents T. Sumers Shunyu Yao Karthik R. Narasimhan Thomas Griffiths LLMAG LM&Ro 56 154 0 05 Sep 2023
Active Inverse Learning in Stackelberg Trajectory Games Yue Yu Jacob Levy Negar Mehr David Fridovich-Keil Ufuk Topcu 27 2 0 15 Aug 2023
Rating-based Reinforcement Learning Devin White Mingkang Wu Ellen R. Novoseller Vernon J. Lawhern Nicholas R. Waytowich Yongcan Cao ALM 19 6 0 30 Jul 2023
On the Perception of Difficulty: Differences between Humans and AI Philipp Spitzer Joshua Holstein Michael Vossing Niklas Kühl 25 0 0 19 Apr 2023
Active Reward Learning from Online Preferences Vivek Myers Erdem Biyik Dorsa Sadigh OffRL 37 12 0 27 Feb 2023
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking David Zhang Micah Carroll Andreea Bobu Anca Dragan 24 4 0 30 Nov 2022
Error-Bounded Approximation of Pareto Fronts in Robot Planning Problems Alexander Botros Armin Sadeghi Nils Wilde Javier Alonso-Mora Stephen L. Smith 11 3 0 01 Jun 2022
Learning Submodular Objectives for Team Environmental Monitoring Nils Wilde Armin Sadeghi Stephen L. Smith 19 15 0 15 Dec 2021
Explaining Reward Functions to Humans for Better Human-Robot Collaboration Lindsay M. Sanneman J. Shah 13 5 0 08 Oct 2021
Correct Me if I am Wrong: Interactive Learning for Robotic Manipulation Eugenio Chisari Tim Welschehold Joschka Boedecker Wolfram Burgard Abhinav Valada 19 37 0 07 Oct 2021
Learning Multimodal Rewards from Rankings Vivek Myers Erdem Biyik Nima Anari Dorsa Sadigh OffRL 32 49 0 27 Sep 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 35 84 0 17 Sep 2021
APReL: A Library for Active Preference-based Reward Learning Algorithms Erdem Biyik Aditi Talati Dorsa Sadigh 20 35 0 16 Aug 2021
Uncertain Decisions Facilitate Better Preference Learning Cassidy Laidlaw Stuart J. Russell 30 11 0 19 Jun 2021
Incentivizing Efficient Equilibria in Traffic Networks with Mixed Autonomy Erdem Biyik Daniel A. Lazar Ramtin Pedarsani Dorsa Sadigh 27 17 0 06 May 2021
SkiffOS: Minimal Cross-compiled Linux for Embedded Containers Christian Stewart 36 8 0 31 Mar 2021
Preference-based Learning of Reward Function Features Sydney M. Katz Amir Maleki Erdem Biyik Mykel J. Kochenderfer 33 11 0 03 Mar 2021
Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic M. Beliaev Erdem Biyik Daniel A. Lazar Woodrow Z. Wang Dorsa Sadigh Ramtin Pedarsani 29 6 0 28 Dec 2020
ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes Kejun Li Maegan Tucker Erdem Biyik Ellen R. Novoseller J. W. Burdick Yanan Sui Dorsa Sadigh Yisong Yue Aaron D. Ames 15 32 0 09 Nov 2020
Human-guided Robot Behavior Learning: A GAN-assisted Preference-based Reinforcement Learning Approach Huixin Zhan Feng Tao Yongcan Cao 38 26 0 15 Oct 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences Daniel S. Brown Russell Coleman R. Srinivasan S. Niekum BDL 30 101 0 21 Feb 2020
When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans Minae Kwon Erdem Biyik Aditi Talati Karan Bhasin Dylan P. Losey Dorsa Sadigh 19 98 0 13 Jan 2020