Explainable Reinforcement Learning Through a Causal Lens

27 May 2019

Papers citing "Explainable Reinforcement Learning Through a Causal Lens"

50 / 77 papers shown

Title
Explainable Reinforcement Learning Agents Using World Models Madhuri Singh Amal Alabdulkarim Gennie Mansi Mark O. Riedl 26 0 0 12 May 2025
D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection Chenran Zhao Dianxi Shi Mengzhu Wang Jianqiang Xia Huanhuan Yang Songchang Jin Shaowu Yang Chunping Qiu 45 0 0 04 May 2025
Behaviour Discovery and Attribution for Explainable Reinforcement Learning Rishav Rishav Somjit Nath Vincent Michalski Samira Ebrahimi Kahou FAtt OffRL 73 0 0 19 Mar 2025
Reducing Action Space for Deep Reinforcement Learning via Causal Effect Estimation Wenzhang Liu Lianjun Jin Lu Ren Chaoxu Mu Changyin Sun CML 53 0 0 24 Jan 2025
Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making Stelios Triantafyllou A. Sukovic Yasaman Zolfimoselo Goran Radanović CML 40 0 0 16 Oct 2024
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 83 28 0 30 Aug 2024
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning Hao-ming Lin Wenhao Ding Jian Chen Laixi Shi Jiacheng Zhu Bo-wen Li Ding Zhao OffRL CML 59 0 0 15 Jul 2024
Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics Charlotte Beylier Simon M. Hofmann Nico Scherf 26 0 0 20 Jun 2024
RouteExplainer: An Explanation Framework for Vehicle Routing Problem Daisuke Kikuta Hiroki Ikeuchi Kengo Tajiri Yuusuke Nakano 48 1 0 06 Mar 2024
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
Using Reinforcement Learning for the Three-Dimensional Loading Capacitated Vehicle Routing Problem Stefan Schoepf Stephen Mak J. Senoner Liming Xu Netland Torbjorn Alexandra Brintrup 21 0 0 22 Jul 2023
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces Stratis Tsirtsis Manuel Gomez Rodriguez CML OffRL 32 9 0 06 Jun 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 72 142 0 11 Apr 2023
Explainable Goal Recognition: A Framework Based on Weight of Evidence Abeer Alshehri Tim Miller Mor Vered 48 3 0 09 Mar 2023
Q-Cogni: An Integrated Causal Reinforcement Learning Framework C. Cunha Wen Liu T. French Ajmal Mian 26 1 0 26 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
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents Yotam Amitai Guy Avni Ofra Amir 45 3 0 24 Jan 2023
Explainable Deep Reinforcement Learning: State of the Art and Challenges G. Vouros XAI 52 77 0 24 Jan 2023
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies Pradyumna Tambwekar Matthew C. Gombolay 36 8 0 13 Jan 2023
Explaining Imitation Learning through Frames Boyuan Zheng Jianlong Zhou Chun-Hao Liu Yiqiao Li Fang Chen 14 0 0 03 Jan 2023
Symmetry Detection in Trajectory Data for More Meaningful Reinforcement Learning Representations Marissa DÁlonzo Rebecca L. Russell 12 0 0 29 Nov 2022
Explainability Via Causal Self-Talk Nicholas A. Roy Junkyung Kim Neil C. Rabinowitz CML 29 7 0 17 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
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping Ronilo Ragodos Tong Wang Qihang Lin Xun Zhou 24 7 0 06 Nov 2022
Causal Counterfactuals for Improving the Robustness of Reinforcement Learning Tom He Jasmina Gajcin Ivana Dusparic CML 13 5 0 02 Nov 2022
Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning H. Khadilkar Hardik Meisheri OffRL 34 1 0 28 Oct 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
Symbolic Distillation for Learned TCP Congestion Control S. Sharan Wenqing Zheng Kuo-Feng Hsu Jiarong Xing Ang Chen Zhangyang Wang 26 5 0 24 Oct 2022
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities Jasmina Gajcin Ivana Dusparic CML OffRL 35 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
Measuring Interventional Robustness in Reinforcement Learning Katherine Avery Jack Kenney Pracheta Amaranath Erica Cai David D. Jensen 21 0 0 19 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
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
Causal Explanations for Sequential Decision Making Under Uncertainty Samer B. Nashed Saaduddin Mahmud C. V. Goldman S. Zilberstein CML 46 4 0 30 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
Counterfactual harm Jonathan G. Richens R. Beard Daniel H. Thompson 31 27 0 27 Apr 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 45 6 0 21 Mar 2022
A Survey of Explainable Reinforcement Learning Stephanie Milani Nicholay Topin Manuela Veloso Fei Fang XAI LRM 30 52 0 17 Feb 2022
Reinforcement Learning Your Way: Agent Characterization through Policy Regularization Charl Maree C. Omlin 24 8 0 21 Jan 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
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning Wenjie Shi Gao Huang Shiji Song Cheng Wu 34 9 0 06 Dec 2021
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 41 55 0 05 Dec 2021
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
Explaining Deep Reinforcement Learning Agents In The Atari Domain through a Surrogate Model Alexander Sieusahai Matthew J. Guzdial 35 13 0 07 Oct 2021