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"

23 / 23 papers shown

Title
Towards Uncertainty Unification: A Case Study for Preference Learning Shaoting Peng Haonan Chen Katherine Driggs-Campbell 51 0 0 25 Mar 2025
Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation N. Dennler S. Nikolaidis Maja J. Matarić 95 0 0 03 Jan 2025
Preference Elicitation for Offline Reinforcement Learning Alizée Pace Bernhard Schölkopf Gunnar Rätsch Giorgia Ramponi OffRL 58 1 0 26 Jun 2024
Inverse Risk-sensitive Multi-Robot Task Allocation Guangyao Shi Gaurav Sukhatme 19 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 29 1 0 09 Mar 2024
Scalarizing Multi-Objective Robot Planning Problems using Weighted Maximization Nils Wilde Stephen L. Smith Javier Alonso-Mora 14 4 0 12 Dec 2023
Cognitive Architectures for Language Agents T. Sumers Shunyu Yao Karthik Narasimhan Thomas L. Griffiths LLMAG LM&Ro 36 151 0 05 Sep 2023
Active Inverse Learning in Stackelberg Trajectory Games Yue Yu Jacob Levy Negar Mehr David Fridovich-Keil Ufuk Topcu 19 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 11 6 0 30 Jul 2023
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking David Zhang Micah Carroll Andreea Bobu Anca Dragan 17 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
Explaining Reward Functions to Humans for Better Human-Robot Collaboration Lindsay M. Sanneman J. Shah 11 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 11 37 0 07 Oct 2021
Learning Multimodal Rewards from Rankings Vivek Myers Erdem Biyik Nima Anari Dorsa Sadigh OffRL 24 48 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 11 84 0 17 Sep 2021
APReL: A Library for Active Preference-based Reward Learning Algorithms Erdem Biyik Aditi Talati Dorsa Sadigh 18 35 0 16 Aug 2021
Uncertain Decisions Facilitate Better Preference Learning Cassidy Laidlaw Stuart J. Russell 25 10 0 19 Jun 2021
Incentivizing Efficient Equilibria in Traffic Networks with Mixed Autonomy Erdem Biyik Daniel A. Lazar Ramtin Pedarsani Dorsa Sadigh 11 17 0 06 May 2021
SkiffOS: Minimal Cross-compiled Linux for Embedded Containers Christian Stewart 28 8 0 31 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 11 6 0 28 Dec 2020
Human-guided Robot Behavior Learning: A GAN-assisted Preference-based Reinforcement Learning Approach Huixin Zhan Feng Tao Yongcan Cao 30 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 17 100 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 9 96 0 13 Jan 2020