Establishing Appropriate Trust via Critical States

18 October 2018

Sandy H. Huang

Pieter Abbeel

Papers citing "Establishing Appropriate Trust via Critical States"

23 / 23 papers shown

Title
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards Xinyi Yang Liang Zeng Heng Dong Chao Yu X. Wu H. Yang Yu Wang Milind Tambe Tonghan Wang 83 2 0 18 Feb 2025
Navigating Trade-offs: Policy Summarization for Multi-Objective Reinforcement Learning Zuzanna Osika J. Z. Salazar F. Oliehoek P. Murukannaiah OffRL 40 1 0 07 Nov 2024
Multi-Agent Strategy Explanations for Human-Robot Collaboration Ravi Pandya Michelle Zhao Changliu Liu Reid G. Simmons H. Admoni 36 2 0 20 Nov 2023
Learning Interpretable Models of Aircraft Handling Behaviour by Reinforcement Learning from Human Feedback Tom Bewley J. Lawry Arthur G. Richards 32 1 0 26 May 2023
Adaptive Failure Search Using Critical States from Domain Experts Peter Du Katherine Driggs-Campbell 20 10 0 01 Apr 2023
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents Yotam Amitai Guy Avni Ofra Amir 47 3 0 24 Jan 2023
Explainable Deep Reinforcement Learning: State of the Art and Challenges G. Vouros XAI 52 77 0 24 Jan 2023
Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning Pedro Sequeira Jesse Hostetler Melinda Gervasio 18 0 0 11 Nov 2022
Reward Learning with Trees: Methods and Evaluation Tom Bewley J. Lawry Arthur G. Richards R. Craddock Ian Henderson 31 1 0 03 Oct 2022
Reasoning about Counterfactuals to Improve Human Inverse Reinforcement Learning Michael S. Lee H. Admoni Reid G. Simmons OffRL 13 9 0 03 Mar 2022
A Survey of Explainable Reinforcement Learning Stephanie Milani Nicholay Topin Manuela Veloso Fei Fang XAI LRM 35 52 0 17 Feb 2022
Explaining Reward Functions to Humans for Better Human-Robot Collaboration Lindsay M. Sanneman J. Shah 21 5 0 08 Oct 2021
Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations Kin-Ho Lam Zhengxian Lin Jed Irvine Jonathan Dodge Zeyad Shureih Roli Khanna Minsuk Kahng Alan Fern 33 7 0 28 Sep 2021
Communicating Inferred Goals with Passive Augmented Reality and Active Haptic Feedback J. F. Mullen Josh Mosier Sounak Chakrabarti Anqi Chen Tyler White Dylan P. Losey 24 30 0 03 Sep 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 32 60 0 20 Aug 2021
AutoPreview: A Framework for Autopilot Behavior Understanding Yuan Shen Niviru Wijayaratne Peter Du Shanduojiao Jiang Katherine Driggs Campbell 19 9 0 25 Feb 2021
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps Tobias Huber Katharina Weitz Elisabeth André Ofra Amir FAtt 21 64 0 18 May 2020
Towards Transparent Robotic Planning via Contrastive Explanations Shenghui Chen Kayla Boggess Lu Feng 20 9 0 16 Mar 2020
Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and Limitations Pedro Sequeira Melinda Gervasio 19 104 0 19 Dec 2019
Counterfactual States for Atari Agents via Generative Deep Learning Matthew Lyle Olson Lawrence Neal Fuxin Li Weng-Keen Wong CML 21 29 0 27 Sep 2019
Robot Capability and Intention in Trust-based Decisions across Tasks Yaqi Xie Indu Bodala Desmond C. Ong David Hsu Harold Soh 19 45 0 03 Sep 2019
Exploring Computational User Models for Agent Policy Summarization Isaac Lage Daphna Lifschitz Finale Doshi-Velez Ofra Amir LLMAG 18 75 0 30 May 2019
Multi-Task Trust Transfer for Human-Robot Interaction Harold Soh Yaqi Xie Min Chen David Hsu 14 67 0 05 Jul 2018