Explainability in Deep Reinforcement Learning

15 August 2020

Alexandre Heuillet

Fabien Couthouis

Natalia Díaz Rodríguez

XAI

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Papers citing "Explainability in Deep Reinforcement Learning"

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Title
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Xuyang Li Romit Maulik 48 0 0 24 Feb 2025
AI-Assisted Decision Making with Human Learning Gali Noti Kate Donahue Jon M. Kleinberg Sigal Oren 138 0 0 18 Feb 2025
Explaining Decisions of Agents in Mixed-Motive Games Maayan Orner Oleg Maksimov Akiva Kleinerman Charles Ortiz Sarit Kraus 101 1 0 28 Jan 2025
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 83 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 46 2 0 31 May 2024
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search Max Liu Chan-Hung Yu Wei-Hsu Lee Cheng-Wei Hung Yen-Chun Chen Shao-Hua Sun 55 4 0 26 May 2024
Explainable automatic industrial carbon footprint estimation from bank transaction classification using natural language processing Jaime González-González Silvia García-Méndez Francisco de Arriba-Pérez Francisco J. González Castaño Oscar Barba-Seara 36 8 0 23 May 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 72 6 0 18 Mar 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
Evaluating Explanation Methods for Vision-and-Language Navigation Guanqi Chen Lei Yang Guanhua Chen Jia Pan XAI 23 0 0 10 Oct 2023
On Generating Explanations for Reinforcement Learning Policies: An Empirical Study Mikihisa Yuasa Huy T. Tran R. Sreenivas FAtt LRM 54 1 0 29 Sep 2023
Transformers in Reinforcement Learning: A Survey Pranav Agarwal A. Rahman P. St-Charles Simon J. D. Prince Samira Ebrahimi Kahou OffRL 32 19 0 12 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
A Closer Look at Reward Decomposition for High-Level Robotic Explanations Wenhao Lu Xufeng Zhao S. Magg M. Gromniak Mengdi Li S. Wermter 38 7 0 25 Apr 2023
Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search Wenqing Zheng S. Sharan Zhiwen Fan Kevin Wang Yihan Xi Zhangyang Wang 58 9 0 30 Dec 2022
Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario Hugo Munoz Ernesto Portugal Angel Ayala Bruno José Torres Fernandes Francisco Cruz 26 0 0 14 Dec 2022
Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values Giorgio Angelotti Natalia Díaz Rodríguez 17 7 0 06 Dec 2022
Symmetry Detection in Trajectory Data for More Meaningful Reinforcement Learning Representations Marissa DÁlonzo Rebecca L. Russell 12 0 0 29 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 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 37 8 0 21 Oct 2022
Experiential Explanations for Reinforcement Learning Amal Alabdulkarim Madhuri Singh Gennie Mansi Kaely Hall Mark O. Riedl Mark O. Riedl OffRL 40 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
Learning When to Advise Human Decision Makers Gali Noti Yiling Chen 50 15 0 27 Sep 2022
Towards Artificial Virtuous Agents: Games, Dilemmas and Machine Learning Ajay Vishwanath E. Bøhn Ole-Christoffer Granmo Charl Maree C. Omlin AI4CE 35 5 0 30 Aug 2022
Reinforcement Learning with Intrinsic Affinity for Personalized Prosperity Management Charl Maree C. Omlin 35 1 0 20 Apr 2022
Explainability in reinforcement learning: perspective and position Agneza Krajna Mario Brčič T. Lipić Juraj Dončević 34 27 0 22 Mar 2022
Can Interpretable Reinforcement Learning Manage Prosperity Your Way? Charl Maree C. Omlin AIFin 19 6 0 18 Feb 2022
A Survey of Explainable Reinforcement Learning Stephanie Milani Nicholay Topin Manuela Veloso Fei Fang XAI LRM 30 52 0 17 Feb 2022
End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation Tianying Wang En Yen Puang Marcus Lee Yongpeng Wu Wei Jing SSL 38 5 0 12 Feb 2022
Reinforcement Learning Your Way: Agent Characterization through Policy Regularization Charl Maree C. Omlin 27 8 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
Explainable Deep Reinforcement Learning for Portfolio Management: An Empirical Approach Mao Guan Xiao-Yang Liu AIFin AI4TS 27 20 0 07 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
Robust Stability of Neural Network-controlled Nonlinear Systems with Parametric Variability Soumyabrata Talukder Ratnesh Kumar 18 7 0 13 Sep 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 32 60 0 20 Aug 2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning Jiahui Li Kun Kuang Baoxiang Wang Furui Liu Long Chen Fei Wu Jun Xiao OffRL 25 60 0 01 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
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani Ekram Hossain 35 237 0 06 Nov 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,696 0 28 Feb 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015