Counterfactual Explanations in Sequential Decision Making Under Uncertainty

6 July 2021

Papers citing "Counterfactual Explanations in Sequential Decision Making Under Uncertainty"

24 / 24 papers shown

Title
Counterfactual Explanations for Continuous Action Reinforcement Learning Shuyang Dong Shangtong Zhang Lu Feng OffRL LRM 84 0 0 19 May 2025
When Counterfactual Reasoning Fails: Chaos and Real-World Complexity Yahya Aalaila Gerrit Großmann Sumantrak Mukherjee Jonas Wahl Sebastian Vollmer CML LRM 114 0 0 31 Mar 2025
Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making Stelios Triantafyllou A. Sukovic Yasaman Zolfimoselo Goran Radanović CML 52 0 0 16 Oct 2024
Counterfactual Token Generation in Large Language Models Ivi Chatzi N. C. Benz Eleni Straitouri Stratis Tsirtsis Manuel Gomez Rodriguez LRM 78 4 0 25 Sep 2024
Counterfactual Influence in Markov Decision Processes Milad Kazemi Jessica Lally Ekaterina Tishchenko Hana Chockler Nicola Paoletti 69 1 0 13 Feb 2024
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects Amir-Hossein Karimi Gilles Barthe Bernhard Schölkopf Isabel Valera FaML 65 172 0 08 Oct 2020
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach Amir-Hossein Karimi Julius von Kügelgen Bernhard Schölkopf Isabel Valera CML 99 180 0 11 Jun 2020
Algorithmic Recourse: from Counterfactual Explanations to Interventions Amir-Hossein Karimi Bernhard Schölkopf Isabel Valera CML 44 340 0 14 Feb 2020
Decisions, Counterfactual Explanations and Strategic Behavior Stratis Tsirtsis Manuel Gomez Rodriguez 101 62 0 11 Feb 2020
Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution Nikaash Puri Sukriti Verma Piyush B. Gupta Dhruv Kayastha Shripad Deshmukh Balaji Krishnamurthy Sameer Singh FAtt AAML 41 77 0 23 Dec 2019
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning Akanksha Atrey Kaleigh Clary David D. Jensen FAtt LRM 59 91 0 09 Dec 2019
Model-Agnostic Counterfactual Explanations for Consequential Decisions Amir-Hossein Karimi Gilles Barthe Borja Balle Isabel Valera 91 321 0 27 May 2019
Explainable Reinforcement Learning Through a Causal Lens Prashan Madumal Tim Miller L. Sonenberg F. Vetere CML 95 361 0 27 May 2019
Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations R. Mothilal Amit Sharma Chenhao Tan CML 108 1,020 0 19 May 2019
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models Michael Oberst David Sontag CML OffRL 63 173 0 14 May 2019
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift Carles Gelada Marc G. Bellemare OffRL 59 99 0 27 Jan 2019
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search Lars Buesing T. Weber Yori Zwols S. Racanière A. Guez Jean-Baptiste Lespiau N. Heess CML 109 137 0 15 Nov 2018
Actionable Recourse in Linear Classification Berk Ustun Alexander Spangher Yang Liu FaML 117 549 0 18 Sep 2018
Importance Sampling Policy Evaluation with an Estimated Behavior Policy Josiah P. Hanna S. Niekum Peter Stone OffRL 41 68 0 04 Jun 2018
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 107 2,352 0 01 Nov 2017
Visualizing and Understanding Atari Agents S. Greydanus Anurag Koul Jonathan Dodge Alan Fern FAtt 100 347 0 31 Oct 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,906 0 22 May 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 203 2,885 0 14 Mar 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,976 0 16 Feb 2016