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1711.00138
Cited By
Visualizing and Understanding Atari Agents
31 October 2017
S. Greydanus
Anurag Koul
Jonathan Dodge
Alan Fern
FAtt
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Papers citing
"Visualizing and Understanding Atari Agents"
50 / 174 papers shown
Title
Revealing Covert Attention by Analyzing Human and Reinforcement Learning Agent Gameplay
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Pay Attention to What and Where? Interpretable Feature Extractor in Vision-based Deep Reinforcement Learning
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Angelo Cangelosi
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Cheng-You Lu
Yu-Cheng Chang
Yu-Kai Wang
T. Do
Chin-Teng Lin
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0
08 Apr 2025
"Trust me on this" Explaining Agent Behavior to a Human Terminator
Uri Menkes
Assaf Hallak
Ofra Amir
28
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06 Apr 2025
Exploring Explainable Multi-player MCTS-minimax Hybrids in Board Game Using Process Mining
Yiyu Qian
Tim Miller
Zheng Qian
Liyuan Zhao
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30 Mar 2025
Towards Automated Semantic Interpretability in Reinforcement Learning via Vision-Language Models
Zhaoxin Li
Zhang Xi-Jia
Batuhan Altundas
Letian Chen
Rohan R. Paleja
Matthew C. Gombolay
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20 Mar 2025
Behaviour Discovery and Attribution for Explainable Reinforcement Learning
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Somjit Nath
Vincent Michalski
Samira Ebrahimi Kahou
FAtt
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70
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0
19 Mar 2025
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards
Xinyi Yang
Liang Zeng
Heng Dong
Chao Yu
X. Wu
H. Yang
Yu Wang
Milind Tambe
Tonghan Wang
76
2
0
18 Feb 2025
Explainable Reinforcement Learning for Formula One Race Strategy
Devin Thomas
Junqi Jiang
Avinash Kori
Aaron Russo
Steffen Winkler
Stuart Sale
Joseph McMillan
Francesco Belardinelli
Antonio Rago
LRM
35
0
0
07 Jan 2025
Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control
Seongmin Park
Hyungmin Kim
Wonseok Jeon
Juyoung Yang
Byeongwook Jeon
Yoonseon Oh
Jungwook Choi
93
1
0
02 Dec 2024
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks
Yongyan Wen
Siyuan Li
Rongchang Zuo
Lei Yuan
Hangyu Mao
P. Liu
69
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0
19 Nov 2024
CE-MRS: Contrastive Explanations for Multi-Robot Systems
Ethan Schneider
Daniel Wu
Devleena Das
Sonia Chernova
18
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0
10 Oct 2024
Explaining an Agent's Future Beliefs through Temporally Decomposing Future Reward Estimators
Mark Towers
Yali Du
Christopher T. Freeman
Timothy J. Norman
34
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15 Aug 2024
Backward explanations via redefinition of predicates
Léo Saulières
Martin C. Cooper
F. D. D. S. Cyr
19
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05 Aug 2024
REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability
Shuang Ao
Simon Khan
Haris Aziz
Flora D. Salim
37
0
0
20 Jun 2024
Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics
Charlotte Beylier
Simon M. Hofmann
Nico Scherf
26
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20 Jun 2024
Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences
Takuya Hiraoka
Guanquan Wang
Takashi Onishi
Yoshimasa Tsuruoka
62
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23 May 2024
Hindsight PRIORs for Reward Learning from Human Preferences
Mudit Verma
Katherine Metcalf
48
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12 Apr 2024
Closed-loop Teaching via Demonstrations to Improve Policy Transparency
Michael S. Lee
Reid G. Simmons
H. Admoni
27
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End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations
Lirui Luo
Guoxi Zhang
Hongming Xu
Yaodong Yang
Cong Fang
Qing Li
37
11
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19 Mar 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
XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques
Yu Xiong
Zhipeng Hu
Ye Huang
Runze Wu
Kai Guan
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Tianze Zhou
Yujing Hu
Haoyu Liu
Tangjie Lyu
Changjie Fan
OffRL
62
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20 Feb 2024
ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies
Jasmina Gajcin
Ivana Dusparic
CML
OffRL
30
2
0
09 Feb 2024
Causal State Distillation for Explainable Reinforcement Learning
Wenhao Lu
Xufeng Zhao
Thilo Fryen
Jae Hee Lee
Mengdi Li
S. Magg
Stefan Wermter
CML
43
2
0
30 Dec 2023
Explaining Reinforcement Learning Agents Through Counterfactual Action Outcomes
Yotam Amitai
Yael Septon
Ofra Amir
CML
25
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18 Dec 2023
Neural architecture impact on identifying temporally extended Reinforcement Learning tasks
Victor Vadakechirayath George
OffRL
13
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0
04 Oct 2023
Quantifying Feature Importance of Games and Strategies via Shapley Values
Satoru Fujii
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12
0
0
21 Sep 2023
Advantage Actor-Critic with Reasoner: Explaining the Agent's Behavior from an Exploratory Perspective
Muzhe Guo
Feixu Yu
Tian Lan
Fang Jin
OffRL
LRM
13
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09 Sep 2023
Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning
Qisen Yang
Huanqian Wang
Mukun Tong
Wenjie Shi
Gao Huang
Shiji Song
35
5
0
04 Sep 2023
Counterfactual Explanation Policies in RL
Shripad Deshmukh
R Srivatsan
Supriti Vijay
Jayakumar Subramanian
Chirag Agarwal
OffRL
37
0
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25 Jul 2023
IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit based on Analyses of Interestingness
Pedro Sequeira
Melinda Gervasio
18
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18 Jul 2023
Causal Reinforcement Learning: A Survey
Zhi-Hong Deng
Jing Jiang
Guodong Long
Chen Zhang
CML
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50
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04 Jul 2023
Action Q-Transformer: Visual Explanation in Deep Reinforcement Learning with Encoder-Decoder Model using Action Query
Hidenori Itaya
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
K. Sugiura
OffRL
39
0
0
24 Jun 2023
Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings (Extended Version)
Pulkit Verma
Rushang Karia
Siddharth Srivastava
24
10
0
07 Jun 2023
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
Bo Liu
Yifeng Zhu
Chongkai Gao
Yihao Feng
Qian Liu
Yuke Zhu
Peter Stone
CLL
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121
0
05 Jun 2023
Explaining RL Decisions with Trajectories
Shripad Deshmukh
Arpan Dasgupta
Balaji Krishnamurthy
Nan Jiang
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Georgios Theocharous
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31
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0
06 May 2023
N
A
2
\text{A}^\text{2}
A
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Zichuan Liu
Yuanyang Zhu
Chunlin Chen
45
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26 Apr 2023
A Closer Look at Reward Decomposition for High-Level Robotic Explanations
Wenhao Lu
Xufeng Zhao
S. Magg
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Mengdi Li
S. Wermter
38
7
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25 Apr 2023
Conveying Autonomous Robot Capabilities through Contrasting Behaviour Summaries
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S. Murthy
Katherine Driggs-Campbell
83
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01 Apr 2023
Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks
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Junpeng Wang
Takanori Fujiwara
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14
6
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CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems
Sagar Patel
Sangeetha Abdu Jyothi
Nina Narodytska
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AutoDOViz: Human-Centered Automation for Decision Optimization
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S. Afzal
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...
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Loraine Franke
D. Haehn
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43
4
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Effective Multimodal Reinforcement Learning with Modality Alignment and Importance Enhancement
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Feng Wu
Yingfeng Chen
Xianpeng Ji
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33
4
0
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A State Augmentation based approach to Reinforcement Learning from Human Preferences
Mudit Verma
Subbarao Kambhampati
35
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Aligning Robot and Human Representations
Andreea Bobu
Andi Peng
Pulkit Agrawal
Julie A. Shah
Anca D. Dragan
48
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03 Feb 2023
Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over Dropout
Takuya Hiraoka
Takashi Onishi
Yoshimasa Tsuruoka
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26 Jan 2023
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents
Yotam Amitai
Guy Avni
Ofra Amir
45
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Explainable Deep Reinforcement Learning: State of the Art and Challenges
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Decisions that Explain Themselves: A User-Centric Deep Reinforcement Learning Explanation System
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Zihan Yan
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Configurable Agent With Reward As Input: A Play-Style Continuum Generation
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