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1807.05887
Cited By
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees
16 July 2018
Guiliang Liu
Oliver Schulte
Wang Zhu
Qingcan Li
AI4CE
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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
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Yunlong Lu
Yongyi Wang
Qifan Zheng
Wenxin Li
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17 Jun 2025
Strategically Linked Decisions in Long-Term Planning and Reinforcement Learning
Alihan Hüyük
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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
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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
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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
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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
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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
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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
1
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