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Explainable Goal-Driven Agents and Robots -- A Comprehensive Review
v1v2v3v4v5v6v7v8v9 (latest)

Explainable Goal-Driven Agents and Robots -- A Comprehensive Review

ACM Computing Surveys (ACM CSUR), 2020
21 April 2020
F. Sado
C. K. Loo
W. S. Liew
Matthias Kerzel
S. Wermter
ArXiv (abs)PDFHTML

Papers citing "Explainable Goal-Driven Agents and Robots -- A Comprehensive Review"

21 / 21 papers shown
Multi-User Personalisation in Human-Robot Interaction: Resolving Preference Conflicts Using Gradual Argumentation
Multi-User Personalisation in Human-Robot Interaction: Resolving Preference Conflicts Using Gradual Argumentation
Aniol Civit
Antonio Andriella
Carles Sierra
Guillem Alenyà
241
0
0
05 Nov 2025
Foundation and Large-Scale AI Models in Neuroscience: A Comprehensive Review
Foundation and Large-Scale AI Models in Neuroscience: A Comprehensive Review
Shihao Yang
Xiying Huang
Danilo Bernardo
J. Ding
Andrew Michael
Jingmei Yang
Patrick Kwan
Ashish Raj
Feng Liu
AI4CE
221
2
0
18 Oct 2025
The Case for Negative Data: From Crash Reports to Counterfactuals for Reasonable Driving
The Case for Negative Data: From Crash Reports to Counterfactuals for Reasonable Driving
Jay Patrikar
Apoorva Sharma
Sushant Veer
Boyi Li
Sebastian A. Scherer
Marco Pavone
161
1
0
23 Sep 2025
Enabling Transparent Cyber Threat Intelligence Combining Large Language Models and Domain Ontologies
Enabling Transparent Cyber Threat Intelligence Combining Large Language Models and Domain Ontologies
Luca Cotti
Anisa Rula
Devis Bianchini
Federico Cerutti
179
0
0
26 Aug 2025
Reasoning in Computer Vision: Taxonomy, Models, Tasks, and Methodologies
Reasoning in Computer Vision: Taxonomy, Models, Tasks, and Methodologies
Ayushman Sarkar
Mohd Yamani Idna Idris
Zhenyu Yu
LRM
222
12
0
14 Aug 2025
Because we have LLMs, we Can and Should Pursue Agentic Interpretability
Because we have LLMs, we Can and Should Pursue Agentic Interpretability
Been Kim
John Hewitt
Neel Nanda
Noah Fiedel
Oyvind Tafjord
219
10
0
13 Jun 2025
Can LLMs Reason Structurally? Benchmarking via the Lens of Data Structures
Can LLMs Reason Structurally? Benchmarking via the Lens of Data Structures
Yu He
Yingxi Li
Colin White
Ellen Vitercik
ELMLRM
386
1
0
29 May 2025
AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges
AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and ChallengesInformation Fusion (Inf. Fusion), 2025
Ranjan Sapkota
Konstantinos I. Roumeliotis
Manoj Karkee
AI4TS
1.1K
257
0
15 May 2025
Collision Probability Distribution Estimation via Temporal Difference
  Learning
Collision Probability Distribution Estimation via Temporal Difference Learning
Thomas Steinecker
Thorsten Luettel
Mirko Maehlisch
110
0
0
29 Jul 2024
Explainable Interface for Human-Autonomy Teaming: A Survey
Explainable Interface for Human-Autonomy Teaming: A Survey
Xiangqi Kong
Yang Xing
Antonios Tsourdos
Ziyue Wang
Weisi Guo
Adolfo Perrusquía
Andreas Wikander
321
12
0
04 May 2024
Enhancing Trust in Autonomous Agents: An Architecture for Accountability and Explainability through Blockchain and Large Language Models
Enhancing Trust in Autonomous Agents: An Architecture for Accountability and Explainability through Blockchain and Large Language Models
Laura Fernández-Becerra
Miguel Ángel González Santamarta
Ángel Manuel Guerrero Higueras
Francisco J. Rodríguez-Lera
Vicente Matellán Olivera
436
3
0
14 Mar 2024
Explainable AI is Responsible AI: How Explainability Creates Trustworthy
  and Socially Responsible Artificial Intelligence
Explainable AI is Responsible AI: How Explainability Creates Trustworthy and Socially Responsible Artificial Intelligence
Stephanie B. Baker
Wei Xiang
XAI
247
14
0
04 Dec 2023
From Neural Activations to Concepts: A Survey on Explaining Concepts in
  Neural Networks
From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks
Jae Hee Lee
Sergio Lanza
Stefan Wermter
311
19
0
18 Oct 2023
Advantage Actor-Critic with Reasoner: Explaining the Agent's Behavior
  from an Exploratory Perspective
Advantage Actor-Critic with Reasoner: Explaining the Agent's Behavior from an Exploratory Perspective
Muzhe Guo
Feixu Yu
Tian Lan
Fang Jin
OffRLLRM
206
3
0
09 Sep 2023
GPT-in-the-Loop: Adaptive Decision-Making for Multiagent Systems
GPT-in-the-Loop: Adaptive Decision-Making for Multiagent Systems
Nathalia Nascimento
Paulo S. C. Alencar
Donald D. Cowan
LLMAGAI4CE
135
16
0
21 Aug 2023
A Closer Look at Reward Decomposition for High-Level Robotic
  Explanations
A Closer Look at Reward Decomposition for High-Level Robotic ExplanationsInternational Conference on Development and Learning (ICDL), 2023
Wenhao Lu
Xufeng Zhao
S. Magg
M. Gromniak
Mengdi Li
S. Wermter
351
10
0
25 Apr 2023
Introspection-based Explainable Reinforcement Learning in Episodic and
  Non-episodic Scenarios
Introspection-based Explainable Reinforcement Learning in Episodic and Non-episodic Scenarios
Niclas Schroeter
Francisco Cruz
S. Wermter
195
2
0
23 Nov 2022
Explainable AI over the Internet of Things (IoT): Overview,
  State-of-the-Art and Future Directions
Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future DirectionsIEEE Open Journal of the Communications Society (OJ-COMS), 2022
Senthil Kumar Jagatheesaperumal
Quoc-Viet Pham
Rukhsana Ruby
Zhaohui Yang
Chunmei Xu
Zhaoyang Zhang
372
100
0
02 Nov 2022
Understandable Robots
Understandable Robots
Shikhar Kumar
214
14
0
22 Sep 2022
Can AI detect pain and express pain empathy? A review from emotion
  recognition and a human-centered AI perspective
Can AI detect pain and express pain empathy? A review from emotion recognition and a human-centered AI perspectiveiScience (iScience), 2021
Siqi Cao
Di Fu
Xu Yang
S. Wermter
Xun Liu
Haiyan Wu
281
11
0
08 Oct 2021
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision
  Trees
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision TreesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Aaron M. Roth
Jing Liang
Tianyi Zhou
233
11
0
22 Apr 2021
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