Explainable Reinforcement Learning: A Survey

13 May 2020

Papers citing "Explainable Reinforcement Learning: A Survey"

50 / 58 papers shown

Title
Rulebook: bringing co-routines to reinforcement learning environments Massimo Fioravanti Samuele Pasini Giovanni Agosta 33 0 0 28 Apr 2025
Symbolic State Partitioning for Reinforcement Learning Mohsen Ghaffari Mahsa Varshosaz E. Johnsen Andrzej Wasowski 20 1 0 25 Sep 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 85 28 0 30 Aug 2024
Unifying Interpretability and Explainability for Alzheimer's Disease Progression Prediction Raja Farrukh Ali Stephanie Milani John Woods Emmanuel Adenij Ayesha Farooq Clayton Mansel Jeffrey Burns William Hsu 33 0 0 11 Jun 2024
ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments Sören Schleibaum Lu Feng Sarit Kraus Jörg P. Müller 49 2 0 31 May 2024
On Diagnostics for Understanding Agent Training Behaviour in Cooperative MARL Wiem Khlifi Siddarth S. Singh Omayma Mahjoub Ruan de Kock Abidine Vall R. Gorsane Arnu Pretorius 44 1 0 13 Dec 2023
An AI Chatbot for Explaining Deep Reinforcement Learning Decisions of Service-oriented Systems Andreas Metzger Jon Bartel Jan Laufer 24 2 0 25 Sep 2023
Counterfactual Explanation Policies in RL Shripad Deshmukh R Srivatsan Supriti Vijay Jayakumar Subramanian Chirag Agarwal OffRL 37 0 0 25 Jul 2023
A User Study on Explainable Online Reinforcement Learning for Adaptive Systems Andreas Metzger Jan Laufer Felix Feit Klaus Pohl OffRL OnRL 24 1 0 09 Jul 2023
Learning Interpretable Models of Aircraft Handling Behaviour by Reinforcement Learning from Human Feedback Tom Bewley J. Lawry Arthur G. Richards 30 1 0 26 May 2023
RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning Jasmina Gajcin Ivana Dusparic CML 32 3 0 08 Mar 2023
AutoDOViz: Human-Centered Automation for Decision Optimization D. Weidele S. Afzal Abel N. Valente Cole Makuch Owen Cornec ... Radu Marinescu Paulito Palmes Elizabeth M. Daly Loraine Franke D. Haehn OffRL 50 4 0 19 Feb 2023
Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care Venkatesh Sivaraman L. Bukowski J. Levin J. Kahn Adam Perer 40 83 0 31 Jan 2023
Explainable Deep Reinforcement Learning: State of the Art and Challenges G. Vouros XAI 52 77 0 24 Jan 2023
Relative Sparsity for Medical Decision Problems Samuel J. Weisenthal Sally W. Thurston Ashkan Ertefaie 30 2 0 29 Nov 2022
Symmetry Detection in Trajectory Data for More Meaningful Reinforcement Learning Representations Marissa DÁlonzo Rebecca L. Russell 14 0 0 29 Nov 2022
Introspection-based Explainable Reinforcement Learning in Episodic and Non-episodic Scenarios Niclas Schroeter Francisco Cruz S. Wermter 22 2 0 23 Nov 2022
Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning Pedro Sequeira Jesse Hostetler Melinda Gervasio 18 0 0 11 Nov 2022
Causal Counterfactuals for Improving the Robustness of Reinforcement Learning Tom He Jasmina Gajcin Ivana Dusparic CML 13 5 0 02 Nov 2022
Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance Xiaoxiao Wang Fanyu Meng Xin Liu Z. Kong Xin Chen XAI CML FAtt 42 4 0 24 Oct 2022
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities Jasmina Gajcin Ivana Dusparic CML OffRL 40 8 0 21 Oct 2022
On the Explainability of Natural Language Processing Deep Models Julia El Zini M. Awad 39 82 0 13 Oct 2022
Experiential Explanations for Reinforcement Learning Amal Alabdulkarim Madhuri Singh Gennie Mansi Kaely Hall Mark O. Riedl Mark O. Riedl OffRL 43 3 0 10 Oct 2022
Reward Learning with Trees: Methods and Evaluation Tom Bewley J. Lawry Arthur G. Richards R. Craddock Ian Henderson 23 1 0 03 Oct 2022
Measuring Interventional Robustness in Reinforcement Learning Katherine Avery Jack Kenney Pracheta Amaranath Erica Cai David D. Jensen 21 0 0 19 Sep 2022
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees Zichuan Liu Zichuan Liu Zhi Wang Yuanyang Zhu Chunlin Chen 66 5 0 15 Sep 2022
Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems Arne Gevaert Jonathan Peck Yvan Saeys 33 1 0 07 Sep 2022
Explainable Reinforcement Learning on Financial Stock Trading using SHAP Satyam Kumar Mendhikar Vishal V. Ravi AIFin 34 8 0 18 Aug 2022
Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios Francisco Cruz Charlotte Young Richard Dazeley Peter Vamplew 30 9 0 07 Jul 2022
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis Yushi Cao Zhiming Li Tianpei Yang Hao Zhang Yan Zheng Yi Li Jianye Hao Yang Liu NAI 38 16 0 27 May 2022
Symbiotic Child Emotional Support with Social Robots and Temporal Knowledge Graphs Isabella Saccardi Duygu Sezen Islakoglu Anouk Neerincx F. Vinella 21 1 0 26 May 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 40 13 0 20 May 2022
Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems Using Online Reinforcement Learning Gagandeep Singh Rakesh Nadig Jisung Park Rahul Bera Nastaran Hajinazar D. Novo Juan Gómez Luna S. Stuijk Henk Corporaal O. Mutlu 65 33 0 15 May 2022
Competency Assessment for Autonomous Agents using Deep Generative Models Aastha Acharya Rebecca L. Russell Nisar R. Ahmed 34 10 0 23 Mar 2022
Explainability in reinforcement learning: perspective and position Agneza Krajna Mario Brčič T. Lipić Juraj Dončević 34 27 0 22 Mar 2022
ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning Jasmina Gajcin Ivana Dusparic CML 48 6 0 21 Mar 2022
Boosting human decision-making with AI-generated decision aids Frederic Becker Julian Skirzyñski B. V. Opheusden Falk Lieder 40 13 0 05 Mar 2022
A Survey of Explainable Reinforcement Learning Stephanie Milani Nicholay Topin Manuela Veloso Fei Fang XAI LRM 30 52 0 17 Feb 2022
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning Tongzhou Mu Kaixiang Lin Fei Niu Govind Thattai OffRL 25 0 0 21 Jan 2022
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy Hyunsung Lee 19 1 0 18 Jan 2022
A Survey on AI Assurance Feras A. Batarseh Laura J. Freeman 31 65 0 15 Nov 2021
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN Peizheng Li Jonathan D. Thomas Xiaoyang Wang Ahmed Khalil A. Ahmad ... S. Kapoor Arjun Parekh A. Doufexi Arman Shojaeifard Robert Piechocki AI4TS 14 37 0 12 Nov 2021
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez 27 57 0 04 Oct 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 32 60 0 20 Aug 2021
Improving Human Sequential Decision-Making with Reinforcement Learning Hamsa Bastani Osbert Bastani W. Sinchaisri HAI OffRL 25 12 0 19 Aug 2021
A Survey on Deep Reinforcement Learning for Data Processing and Analytics Qingpeng Cai Can Cui Yiyuan Xiong Wei Wang Zhongle Xie Meihui Zhang OffRL 21 29 0 10 Aug 2021
Pairing Conceptual Modeling with Machine Learning W. Maass V. Storey HAI 27 33 0 27 Jun 2021
Interpretable Model-based Hierarchical Reinforcement Learning using Inductive Logic Programming Duo Xu Faramarz Fekri 24 10 0 21 Jun 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 34 184 0 15 May 2021
Explainable Autonomous Robots: A Survey and Perspective Tatsuya Sakai Takayuki Nagai 20 67 0 06 May 2021