Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees

16 July 2018

Papers citing "Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees"

50 / 66 papers shown

Title
Mxplainer: Explain and Learn Insights by Imitating Mahjong Agents Lingfeng Li Yunlong Lu Yongyi Wang Qifan Zheng Wenxin Li LLMAG 33 0 0 17 Jun 2025
Strategically Linked Decisions in Long-Term Planning and Reinforcement Learning Alihan Hüyük Finale Doshi-Velez 100 0 0 22 May 2025
Model-Agnostic Policy Explanations with Large Language Models Zhang Xi-Jia Yue (Sophie) Guo Shufei Chen Simon Stepputtis Matthew C. Gombolay Katia Sycara Joseph Campbell LM&Ro LRM 122 1 0 08 Apr 2025
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards Xinyi Yang Liang Zeng Heng Dong Chao Yu Xiaojun Wu H. Yang Yu Wang Milind Tambe Tonghan Wang 143 4 0 18 Feb 2025
Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning Zeyu Jiang Hai Huang Xingquan Zuo OffRL 93 0 0 02 Feb 2025
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks Yongyan Wen Siyuan Li Rongchang Zuo Lei Yuan Hangyu Mao P. Liu 136 0 0 19 Nov 2024
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space Jingdi Chen Hanhan Zhou Yongsheng Mei Carlee Joe-Wong Gina Adam Nathaniel D. Bastian Tian-Shing Lan OffRL 51 0 0 21 Oct 2024
Exploring Semantic Clustering in Deep Reinforcement Learning for Video Games Liang Zhang Justin Lieffers A. Pyarelal 109 0 0 25 Sep 2024
Vanilla Gradient Descent for Oblique Decision Trees Subrat Prasad Panda B. Genest Arvind Easwaran Ponnuthurai Nagaratnam Suganthan OffRL 130 1 0 17 Aug 2024
Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics Charlotte Beylier Simon M. Hofmann Nico Scherf 222 0 0 20 Jun 2024
Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences Takuya Hiraoka Guanquan Wang Takashi Onishi Yoshimasa Tsuruoka 107 0 0 23 May 2024
A Design Trajectory Map of Human-AI Collaborative Reinforcement Learning Systems: Survey and Taxonomy Zhaoxing Li 57 2 0 16 May 2024
Explaining Reinforcement Learning Agents Through Counterfactual Action Outcomes Yotam Amitai Yael Septon Ofra Amir CML 89 9 0 18 Dec 2023
Understanding Your Agent: Leveraging Large Language Models for Behavior Explanation Xijia Zhang Yue (Sophie) Guo Simon Stepputtis Katia Sycara Joseph Campbell LLMAG LM&Ro 68 1 0 29 Nov 2023
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples Hao Sun Alihan Huyuk Daniel Jarrett M. Schaar OffRL 113 8 0 11 Oct 2023
Explaining Agent Behavior with Large Language Models Xijia Zhang Yue (Sophie) Guo Simon Stepputtis Katia Sycara Joseph Campbell LM&Ro LLMAG 81 7 0 19 Sep 2023
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning Xiao Liu Wubing Chen Mao Tan 71 2 0 12 Sep 2023
Worrisome Properties of Neural Network Controllers and Their Symbolic Representations J. Cyranka Kevin E. M. Church J. Lessard 71 0 0 28 Jul 2023
Learning Interpretable Models of Aircraft Handling Behaviour by Reinforcement Learning from Human Feedback Tom Bewley J. Lawry Arthur G. Richards 78 1 0 26 May 2023
End-to-End Policy Gradient Method for POMDPs and Explainable Agents Soichiro Nishimori Sotetsu Koyamada Shin Ishii 34 0 0 19 Apr 2023
Deep Explainable Relational Reinforcement Learning: A Neuro-Symbolic Approach Rishi Hazra Luc de Raedt NAI 73 9 0 17 Apr 2023
Concept Learning for Interpretable Multi-Agent Reinforcement Learning Renos Zabounidis Joseph Campbell Simon Stepputtis Dana Hughes Katia Sycara 91 17 0 23 Feb 2023
Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over Dropout Takuya Hiraoka Takashi Onishi Yoshimasa Tsuruoka OffRL 51 0 0 26 Jan 2023
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents Yotam Amitai Guy Avni Ofra Amir 98 3 0 24 Jan 2023
Explainable Deep Reinforcement Learning: State of the Art and Challenges G. Vouros XAI 137 86 0 24 Jan 2023
XDQN: Inherently Interpretable DQN through Mimicking Andreas Kontogiannis G. Vouros 109 1 0 08 Jan 2023
Decisions that Explain Themselves: A User-Centric Deep Reinforcement Learning Explanation System Xiaoran Wu Zihan Yan Chongjie Zhang Tongshuang Wu 60 2 0 01 Dec 2022
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges Yunpeng Qing Shunyu Liu Mingli Song Huiqiong Wang Mingli Song XAI 85 1 0 12 Nov 2022
Interpretable Deep Reinforcement Learning for Green Security Games with Real-Time Information V. Sharma John P. Dickerson Pratap Tokekar AI4CE 50 0 0 09 Nov 2022
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping Ronilo Ragodos Tong Wang Qihang Lin Xun Zhou 65 7 0 06 Nov 2022
Causal Counterfactuals for Improving the Robustness of Reinforcement Learning Tom He Jasmina Gajcin Ivana Dusparic CML 71 5 0 02 Nov 2022
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities Jasmina Gajcin Ivana Dusparic CML OffRL 110 11 0 21 Oct 2022
Reward Learning with Trees: Methods and Evaluation Tom Bewley J. Lawry Arthur G. Richards R. Craddock Ian Henderson 136 1 0 03 Oct 2022
Constrained Prescriptive Trees via Column Generation Shivaram Subramanian Wei-Ju Sun Youssef Drissi M. Ettl 81 9 0 20 Jul 2022
Policy Optimization with Sparse Global Contrastive Explanations Jiayu Yao S. Parbhoo Weiwei Pan Finale Doshi-Velez OffRL 48 2 0 13 Jul 2022
Explainability in Deep Reinforcement Learning, a Review into Current Methods and Applications Tom Hickling Abdelhafid Zenati Nabil Aouf P. Spencer XAI AI4TS 94 25 0 05 Jul 2022
There is no Accuracy-Interpretability Tradeoff in Reinforcement Learning for Mazes Yishay Mansour Michal Moshkovitz Cynthia Rudin FAtt 67 3 0 09 Jun 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 99 15 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 101 35 0 15 May 2022
Explainability in reinforcement learning: perspective and position Agneza Krajna Mario Brčič T. Lipić Juraj Dončević 92 27 0 22 Mar 2022
Lazy-MDPs: Towards Interpretable Reinforcement Learning by Learning When to Act Alexis Jacq Johan Ferret Olivier Pietquin Matthieu Geist 71 9 0 16 Mar 2022
Policy Regularization for Legible Behavior Michele Persiani Thomas Hellström 39 3 0 08 Mar 2022
Keeping Minimal Experience to Achieve Efficient Interpretable Policy Distillation Xiao Liu Shuyang Liu Wenbin Li Shangdong Yang Yang Gao OffRL 42 0 0 02 Mar 2022
A Survey of Explainable Reinforcement Learning Stephanie Milani Nicholay Topin Manuela Veloso Fei Fang XAI LRM 91 55 0 17 Feb 2022
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning Tongzhou Mu Kaixiang Lin Fei Niu Govind Thattai OffRL 90 0 0 21 Jan 2022
A Survey on Interpretable Reinforcement Learning Claire Glanois Paul Weng Matthieu Zimmer Dong Li Tianpei Yang Jianye Hao Wulong Liu OffRL 108 105 0 24 Dec 2021
Inherently Explainable Reinforcement Learning in Natural Language Xiangyu Peng Mark O. Riedl Prithviraj Ammanabrolu LRM 64 21 0 16 Dec 2021
Tree-based Focused Web Crawling with Reinforcement Learning Andreas Kontogiannis Dimitrios Kelesis Vasilis Pollatos George Giannakopoulos Georgios Paliouras 79 2 0 12 Dec 2021
Automatic Discovery and Description of Human Planning Strategies Julian Skirzyñski Y. Jain Falk Lieder 50 1 0 29 Sep 2021
Interpretable Local Tree Surrogate Policies John Mern Sidhart Krishnan Anil Yildiz Kyle Hatch Mykel J. Kochenderfer OffRL 48 0 0 16 Sep 2021