Exploring Computational User Models for Agent Policy Summarization

Exploring Computational User Models for Agent Policy Summarization

30 May 2019

Daphna Lifschitz

Finale Doshi-Velez

Papers citing "Exploring Computational User Models for Agent Policy Summarization"

15 / 15 papers shown

Title
"Trust me on this" Explaining Agent Behavior to a Human Terminator Uri Menkes Assaf Hallak Ofra Amir 28 0 0 06 Apr 2025
Navigating Trade-offs: Policy Summarization for Multi-Objective Reinforcement Learning Zuzanna Osika J. Z. Salazar F. Oliehoek P. Murukannaiah OffRL 34 1 0 07 Nov 2024
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise Yao Rong Peizhu Qian Vaibhav Unhelkar Enkelejda Kasneci 34 0 0 19 Dec 2023
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents Yotam Amitai Guy Avni Ofra Amir 45 3 0 24 Jan 2023
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies Pradyumna Tambwekar Matthew C. Gombolay 36 8 0 13 Jan 2023
Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning Pedro Sequeira Jesse Hostetler Melinda Gervasio 15 0 0 11 Nov 2022
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning Yuansheng Xie Soroush Vosoughi Saeed Hassanpour 26 2 0 30 Mar 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 27 52 0 17 Feb 2022
Explaining Reward Functions to Humans for Better Human-Robot Collaboration Lindsay M. Sanneman J. Shah 13 5 0 08 Oct 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 32 60 0 20 Aug 2021
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing Kevin Baum XAI 68 415 0 15 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
The Emerging Landscape of Explainable AI Planning and Decision Making Tathagata Chakraborti S. Sreedharan S. Kambhampati 32 112 0 26 Feb 2020
Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and Limitations Pedro Sequeira Melinda Gervasio 19 104 0 19 Dec 2019