mlsanityData to 7 Oct 2026

The Emerging Landscape of Explainable AI Planning and Decision Making

arXiv 2002.11697 ↗First posted 26 Feb 2020cs.AI cs.HCcited by 44

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Abstract (arXiv)

In this paper, we provide a comprehensive outline of the different threads of work in Explainable AI Planning (XAIP) that has emerged as a focus area in the last couple of years and contrast that with earlier efforts in the field in terms of techniques, target users, and delivery mechanisms. We hope that the survey will provide guidance to new researchers in automated planning towards the role of explanations in the effective design of human-in-the-loop systems, as well as provide the established researcher with some perspective on the evolution of the exciting world of explainable planning.

Key facts. Cited by 44 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Feb 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 6; 2022: 12; 2023: 7; 2024: 7; 2025: 8; 2026: 4.

44 papers.

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  1. 2021Explanations in Autonomous Driving: A Surveycited by 80
  2. 2021Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directionscited by 73
  3. 2021Argumentative XAI: A Surveycited by 66
  4. 2022Logic-Based Explainability in Machine Learningcited by 47
  5. 2022A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metricscited by 26
  6. 2021Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Surveycited by 24
  7. 2021Explainable Autonomous Robots: A Survey and Perspectivecited by 15
  8. 2022Why did I fail? A Causal-based Method to Find Explanations for Robot Failurescited by 13
  9. 2022Toward Policy Explanations for Multi-Agent Reinforcement Learningcited by 11
  10. 2024Challenges in Human-Agent Communicationcited by 11
  11. 2022From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actionscited by 8
  12. 2022Subgoal-Based Explanations for Unreliable Intelligent Decision Support Systemscited by 6
32 more
  1. 2024Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logiccited by 6
  2. 2022Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarioscited by 5
  3. 2022Experiential Explanations for Reinforcement Learningcited by 5
  4. 2023Explainable AI applications in the Medical Domain: a systematic reviewcited by 5
  5. 2024Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairnesscited by 3
  6. 2024ADESSE: Advice Explanations in Complex Repeated Decision-Making Environmentscited by 3
  7. 2025Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Tracescited by 3
  8. 2022Causal Explanations for Sequential Decision Making Under Uncertaintycited by 2
  9. 2023Towards Reconciling Usability and Usefulness of Explainable AI Methodologiescited by 2
  10. 2023A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Makingcited by 2
  11. 2024Behaviour Planning: A Toolkit for Diverse Planningcited by 2
  12. 2025PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applicationscited by 2
  13. 2022Understanding a Robot's Guiding Ethical Principles via Automatically Generated Explanationscited by 1
  14. 2023Explanation through Reward Model Reconciliation using POMDP Tree Searchcited by 1
  15. 2023Towards Fair and Explainable AI using a Human-Centered AI Approachcited by 1
  16. 2023Pointwise-in-Time Explanation for Linear Temporal Logic Rulescited by 1
  17. 2025Explainable Reinforcement Learning Agents Using World Modelscited by 1
  18. 2025Diverse Planning with Simulators via Linear Temporal Logiccited by 1
  19. 2026Mind the Prompt: Self-adaptive Generation of Task Plan Explanations via LLMscited by 1
  20. 2021Encoding Compositionality in Classical Planning Solutionscited by 0
  21. 2022Explainable Decision Making with Lean and Argumentative Explanationscited by 0
  22. 2022Beyond Value: CHECKLIST for Testing Inferences in Planning-Based RLcited by 0
  23. 2023A System's Approach Taxonomy for User-Centred XAI: A Surveycited by 0
  24. 2024A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengerscited by 0
  25. 2024A User Study on Contrastive Explanations for Multi-Effector Temporal Planning with Non-Stationary Costscited by 0
  26. 2025Adapting Robot's Explanation for Failures Based on Observed Human Behavior in Human-Robot Collaborationcited by 0
  27. 2025Preprint: Exploring Inevitable Waypoints for Unsolvability Explanation in Hybrid Planning Problemscited by 0
  28. 2025"What are my options?": Explaining RL Agents with Diverse Near-Optimal Alternatives (Extended)cited by 0
  29. 2025Counterfactual Scenarios for Automated Planningcited by 0
  30. 2026From Stories to Cities to Games: A Qualitative Evaluation of Behaviour Planningcited by 0
  31. 2026The Dual Role of Abstracting over the Irrelevant in Symbolic Explanations: Cognitive Effort vs. Understandingcited by 0
  32. 2026Semantic Partial Grounding via LLMscited by 0