Explaining Reinforcement Learning to Mere Mortals: An Empirical Study

Explaining Reinforcement Learning to Mere Mortals: An Empirical Study

22 March 2019

Andrew Anderson

Jonathan Dodge

Amrita Sadarangani

Zoe Juozapaitis

Souti Chattopadhyay

Margaret Burnett

Papers citing "Explaining Reinforcement Learning to Mere Mortals: An Empirical Study"

12 / 12 papers shown

Title
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 72 6 0 18 Mar 2024
Experiential Explanations for Reinforcement Learning Amal Alabdulkarim Madhuri Singh Gennie Mansi Kaely Hall Mark O. Riedl Mark O. Riedl OffRL 43 3 0 10 Oct 2022
A Survey of Explainable Reinforcement Learning Stephanie Milani Nicholay Topin Manuela Veloso Fei Fang XAI LRM 35 52 0 17 Feb 2022
Interpretable Learned Emergent Communication for Human-Agent Teams Seth Karten Mycal Tucker Huao Li Siva Kailas Michael Lewis Katia Sycara AI4CE 23 10 0 19 Jan 2022
Explaining Reward Functions to Humans for Better Human-Robot Collaboration Lindsay M. Sanneman J. Shah 21 5 0 08 Oct 2021
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods Nicholay Topin Stephanie Milani Fei Fang Manuela Veloso OffRL 29 32 0 25 Feb 2021
GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning Silvan Mertes Tobias Huber Katharina Weitz Alexander Heimerl Elisabeth André GAN AAML MedIm 39 69 0 22 Dec 2020
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
Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition Mahsan Nourani Chiradeep Roy Tahrima Rahman Eric D. Ragan Nicholas Ruozzi Vibhav Gogate AAML 15 17 0 05 May 2020
The Emerging Landscape of Explainable AI Planning and Decision Making Tathagata Chakraborti S. Sreedharan S. Kambhampati 35 112 0 26 Feb 2020
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations S. Sreedharan Utkarsh Soni Mudit Verma Siddharth Srivastava S. Kambhampati 76 30 0 04 Feb 2020
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