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Counterfactual Explanations in Sequential Decision Making Under Uncertainty

6 July 2021

Stratis Tsirtsis

A. De

Manuel Gomez Rodriguez

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

32 / 32 papers shown

Title
Counterfactual Explanations for Continuous Action Reinforcement Learning Shuyang Dong Shangtong Zhang Lu Feng OffRL LRM 89 0 0 19 May 2025
Counterfactual Strategies for Markov Decision Processes Paul Kobialka Lina Gerlach Francesco Leofante E. Ábrahám S. L. T. Tarifa E. Johnsen 50 0 0 14 May 2025
When Counterfactual Reasoning Fails: Chaos and Real-World Complexity Yahya Aalaila Gerrit Großmann Sumantrak Mukherjee Jonas Wahl Sebastian Vollmer CML LRM 140 0 0 31 Mar 2025
Evaluation of Large Language Models via Coupled Token Generation N. C. Benz Stratis Tsirtsis Eleni Straitouri Ivi Chatzi Ander Artola Velasco Suhas Thejaswi Manuel Gomez Rodriguez 112 1 0 03 Feb 2025
Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making Stelios Triantafyllou A. Sukovic Yasaman Zolfimoselo Goran Radanović CML 93 0 0 16 Oct 2024
Perfect Counterfactuals in Imperfect Worlds: Modelling Noisy Implementation of Actions in Sequential Algorithmic Recourse Yueqing Xuan Kacper Sokol Mark Sanderson Jeffrey Chan 66 1 0 03 Oct 2024
Counterfactual Token Generation in Large Language Models Ivi Chatzi N. C. Benz Eleni Straitouri Stratis Tsirtsis Manuel Gomez Rodriguez LRM 117 5 0 25 Sep 2024
Semifactual Explanations for Reinforcement Learning Jasmina Gajcin Jovan Jeromela Ivana Dusparic OffRL 60 1 0 09 Sep 2024
Backward explanations via redefinition of predicates Léo Saulières Martin C. Cooper F. D. D. S. Cyr 49 0 0 05 Aug 2024
Counterfactual Explanations for Multivariate Time-Series without Training Datasets Xiangyu Sun Raquel Aoki Kevin H. Wilson 63 1 0 28 May 2024
Counterfactual Influence in Markov Decision Processes Milad Kazemi Jessica Lally Ekaterina Tishchenko Hana Chockler Nicola Paoletti 94 1 0 13 Feb 2024
ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies Jasmina Gajcin Ivana Dusparic CML OffRL 63 2 0 09 Feb 2024
Personalized Path Recourse for Reinforcement Learning Agents Dat Hong Tong Wang 39 0 0 14 Dec 2023
Explainable History Distillation by Marked Temporal Point Process Sishun Liu Ke Deng Yan Wang Xiuzhen Zhang 64 0 0 13 Nov 2023
Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning E. Panagiotou Eirini Ntoutsi CML OffRL BDL 63 0 0 01 Nov 2023
TraCE: Trajectory Counterfactual Explanation Scores Jeffrey N Clark Edward A. Small Nawid Keshtmand Michelle W.L. Wan Elena Fillola Mayoral Enrico Werner Christopher P Bourdeaux Raúl Santos-Rodríguez 79 1 0 27 Sep 2023
Estimation of Counterfactual Interventions under Uncertainties Juliane Weilbach S. Gerwinn M. Kandemir Martin Fraenzle 75 0 0 15 Sep 2023
Causal Reinforcement Learning: A Survey Zhi-Hong Deng Jing Jiang Guodong Long Chen Zhang CML LRM 98 16 0 04 Jul 2023
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces Stratis Tsirtsis Manuel Gomez Rodriguez CML OffRL 109 11 0 06 Jun 2023
Towards Computationally Efficient Responsibility Attribution in Decentralized Partially Observable MDPs Stelios Triantafyllou Goran Radanović 54 5 0 24 Feb 2023
Causal Explanations for Sequential Decision-Making in Multi-Agent Systems Bálint Gyevnár Chenghe Wang Christopher G. Lucas Shay B. Cohen Stefano V. Albrecht CML 69 12 0 21 Feb 2023
Causal Temporal Reasoning for Markov Decision Processes Milad Kazemi Nicola Paoletti LRM AI4CE 63 1 0 16 Dec 2022
Causal Modeling of Policy Interventions From Sequences of Treatments and Outcomes Caglar Hizli S. T. John A. Juuti Tuure Saarinen Kirsi Pietiläinen Pekka Marttinen CML 72 1 0 09 Sep 2022
HEX: Human-in-the-loop Explainability via Deep Reinforcement Learning Michael T. Lash 86 0 0 02 Jun 2022
Counterfactual Analysis in Dynamic Latent State Models Martin Haugh Raghav Singal CML 85 6 0 27 May 2022
Counterfactual harm Jonathan G. Richens R. Beard Daniel H. Thompson 105 29 0 27 Apr 2022
Counterfactual Inference of Second Opinions N. C. Benz Manuel Gomez Rodriguez CML 78 11 0 16 Mar 2022
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates Dan Ley Umang Bhatt Adrian Weller UQCV 231 22 0 05 Dec 2021
Counterfactual Temporal Point Processes Kimia Noorbakhsh Manuel Gomez Rodriguez 87 22 0 15 Nov 2021
Directive Explanations for Actionable Explainability in Machine Learning Applications Ronal Singh Paul Dourish Piers Howe Tim Miller L. Sonenberg Eduardo Velloso F. Vetere 40 35 0 03 Feb 2021
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 176 175 0 20 Oct 2020
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.3K 17,164 0 16 Feb 2016