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ACTER: Diverse and Actionable Counterfactual Sequences for Explaining
and Diagnosing RL Policies

ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies

9 February 2024

Papers citing "ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies"

19 / 19 papers shown

Title
Counterfactual Influence in Markov Decision Processes Milad Kazemi Jessica Lally Ekaterina Tishchenko Hana Chockler Nicola Paoletti 72 1 0 13 Feb 2024
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces Stratis Tsirtsis Manuel Gomez Rodriguez CML OffRL 65 11 0 06 Jun 2023
Counterfactual Explanations in Sequential Decision Making Under Uncertainty Stratis Tsirtsis A. De Manuel Gomez Rodriguez 71 46 0 06 Jul 2021
Towards Robust and Reliable Algorithmic Recourse Sohini Upadhyay Shalmali Joshi Himabindu Lakkaraju 52 109 0 26 Feb 2021
What Did You Think Would Happen? Explaining Agent Behaviour Through Intended Outcomes Herman Yau Chris Russell Simon Hadfield FAtt LRM 42 38 0 10 Nov 2020
Explainable Reinforcement Learning: A Survey Erika Puiutta Eric M. S. P. Veith XAI 63 247 0 13 May 2020
Multi-Objective Counterfactual Explanations Susanne Dandl Christoph Molnar Martin Binder B. Bischl 62 258 0 23 Apr 2020
Algorithmic Recourse: from Counterfactual Explanations to Interventions Amir-Hossein Karimi Bernhard Schölkopf Isabel Valera CML 49 340 0 14 Feb 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 336 1,684 0 02 Feb 2020
Distal Explanations for Model-free Explainable Reinforcement Learning Prashan Madumal Tim Miller L. Sonenberg F. Vetere FAtt LRM 50 26 0 28 Jan 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 44 77 0 23 Dec 2019
Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and Limitations Pedro Sequeira Melinda Gervasio 56 105 0 19 Dec 2019
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning Akanksha Atrey Kaleigh Clary David D. Jensen FAtt LRM 61 91 0 09 Dec 2019
Explainable Reinforcement Learning Through a Causal Lens Prashan Madumal Tim Miller L. Sonenberg F. Vetere CML 101 361 0 27 May 2019
Learn to Interpret Atari Agents Zhao Yang S. Bai Li Zhang Philip Torr 49 29 0 29 Dec 2018
Metrics for Explainable AI: Challenges and Prospects R. Hoffman Shane T. Mueller Gary Klein Jordan Litman XAI 80 727 0 11 Dec 2018
Visualizing and Understanding Atari Agents S. Greydanus Anurag Koul Jonathan Dodge Alan Fern FAtt 100 347 0 31 Oct 2017
Explanation in Artificial Intelligence: Insights from the Social Sciences Tim Miller XAI 245 4,265 0 22 Jun 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 175 1,539 0 25 Jan 2017

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