GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations

24 February 2023

Papers citing "GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations"

6 / 6 papers shown

Title
RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning Jasmina Gajcin Ivana Dusparic CML 11 3 0 08 Mar 2023
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities Jasmina Gajcin Ivana Dusparic CML OffRL 17 7 0 21 Oct 2022
Experiential Explanations for Reinforcement Learning Amal Alabdulkarim Madhuri Singh Gennie Mansi Kaely Hall Mark O. Riedl Mark O. Riedl OffRL 36 2 0 10 Oct 2022
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images K. Schutte O. Moindrot P. Hérent Jean-Baptiste Schiratti S. Jégou FAtt MedIm 29 60 0 19 Jan 2021
Explaining the Black-box Smoothly- A Counterfactual Approach Junyu Chen Yong Du Yufan He W. Paul Segars Ye Li MedIm FAtt 63 83 0 11 Jan 2021
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 143 1,624 0 02 Feb 2020