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Enabling Robots to Communicate their Objectives
Autonomous Robots (Auton. Robots), 2017
11 February 2017
Sandy H. Huang
David Held
Pieter Abbeel
Anca Dragan
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Papers citing
"Enabling Robots to Communicate their Objectives"
50 / 67 papers shown
Surrogate Fitness Metrics for Interpretable Reinforcement Learning
Philipp Altmann
Céline Davignon
Maximilian Zorn
Fabian Ritz
Claudia Linnhoff-Popien
Thomas Gabor
327
1
0
20 Apr 2025
"Trust me on this" Explaining Agent Behavior to a Human Terminator
Uri Menkes
Assaf Hallak
Ofra Amir
287
0
0
06 Apr 2025
From Actions to Words: Towards Abstractive-Textual Policy Summarization in RL
Sahar Admoni
Assaf Hallak
Yftah Ziser
Omer Ben-Porat
Ofra Amir
LLMAG
539
1
0
13 Mar 2025
Robots that Suggest Safe Alternatives
Hyun Joe Jeong
Andrea V. Bajcsy
Andrea Bajcsy
OffRL
551
2
0
15 Sep 2024
Understanding Robot Minds: Leveraging Machine Teaching for Transparent Human-Robot Collaboration Across Diverse Groups
Suresh Kumaar Jayaraman
Reid G. Simmons
Aaron Steinfeld
H. Admoni
214
0
0
23 Apr 2024
REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning
International Joint Conference on Computational Intelligence (IJCCI), 2024
Philipp Altmann
Céline Davignon
Maximilian Zorn
Fabian Ritz
Claudia Linnhoff-Popien
Thomas Gabor
179
2
0
04 Apr 2024
Closed-loop Teaching via Demonstrations to Improve Policy Transparency
Michael S. Lee
Reid G. Simmons
H. Admoni
244
0
0
01 Apr 2024
Explaining Learned Reward Functions with Counterfactual Trajectories
Jan Wehner
Frans Oliehoek
Luciano Cavalcante Siebert
196
0
0
07 Feb 2024
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise
Yao Rong
Peizhu Qian
Vaibhav Unhelkar
Enkelejda Kasneci
474
1
0
19 Dec 2023
Explaining Reinforcement Learning Agents Through Counterfactual Action Outcomes
Yotam Amitai
Yael Septon
Ofra Amir
CML
270
18
0
18 Dec 2023
A Review of Communicating Robot Learning during Human-Robot Interaction
Soheil Habibian
Antonio Alvarez Valdivia
Laura H. Blumenschein
Dylan P. Losey
367
7
0
01 Dec 2023
Multi-Agent Strategy Explanations for Human-Robot Collaboration
IEEE International Conference on Robotics and Automation (ICRA), 2023
Ravi Pandya
Michelle Zhao
Changliu Liu
Reid G. Simmons
H. Admoni
269
8
0
20 Nov 2023
Towards Proactive Safe Human-Robot Collaborations via Data-Efficient Conditional Behavior Prediction
IEEE International Conference on Robotics and Automation (ICRA), 2023
Ravi Pandya
Zhuoyuan Wang
Yorie Nakahira
Changliu Liu
392
11
0
20 Nov 2023
An Information Bottleneck Characterization of the Understanding-Workload Tradeoff
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Lindsay M. Sanneman
Mycal Tucker
Julie A. Shah
283
11
0
11 Oct 2023
Robots as AI Double Agents: Privacy in Motion Planning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Rahul Shome
Zachary Kingston
Lydia E. Kavraki
233
7
0
07 Aug 2023
IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit based on Analyses of Interestingness
Pedro Sequeira
Melinda Gervasio
275
2
0
18 Jul 2023
LIMIT: Learning Interfaces to Maximize Information Transfer
Benjamin A. Christie
Dylan P. Losey
228
7
0
17 Apr 2023
Conveying Autonomous Robot Capabilities through Contrasting Behaviour Summaries
Peter Du
S. Murthy
Katherine Driggs-Campbell
316
3
0
01 Apr 2023
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents
Yotam Amitai
Guy Avni
Ofra Amir
375
5
0
24 Jan 2023
Explainable Deep Reinforcement Learning: State of the Art and Challenges
ACM Computing Surveys (ACM CSUR), 2022
G. Vouros
XAI
618
136
0
24 Jan 2023
Estimation of User's World Model Using Graph2vec
Tatsuya Sakai
Takayuki Nagai
231
2
0
10 Jan 2023
Towards Modeling and Influencing the Dynamics of Human Learning
IEEE/ACM International Conference on Human-Robot Interaction (HRI), 2023
Ran Tian
Masayoshi Tomizuka
Anca Dragan
Andrea V. Bajcsy
322
22
0
02 Jan 2023
(When) Are Contrastive Explanations of Reinforcement Learning Helpful?
Sanjana Narayanan
Isaac Lage
Finale Doshi-Velez
OffRL
120
1
0
14 Nov 2022
Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning
Pedro Sequeira
Jesse Hostetler
Melinda Gervasio
203
0
0
11 Nov 2022
Integrating Policy Summaries with Reward Decomposition for Explaining Reinforcement Learning Agents
Practical Applications of Agents and Multi-Agent Systems (PAAMS), 2022
Yael Septon
Tobias Huber
Elisabeth André
Ofra Amir
FAtt
178
17
0
21 Oct 2022
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yao Rong
Tobias Leemann
Thai-trang Nguyen
Lisa Fiedler
Peizhu Qian
Vaibhav Unhelkar
Tina Seidel
Gjergji Kasneci
Enkelejda Kasneci
ELM
415
207
0
20 Oct 2022
"Guess what I'm doing": Extending legibility to sequential decision tasks
Artificial Intelligence (AIJ), 2022
Miguel Faria
Francisco S. Melo
Ana Paiva
269
5
0
19 Sep 2022
A Framework for Understanding and Visualizing Strategies of RL Agents
Pedro Sequeira
Daniel Elenius
Jesse Hostetler
Melinda Gervasio
166
2
0
17 Aug 2022
Wrapping Haptic Displays Around Robot Arms to Communicate Learning
IEEE Transactions on Haptics (TOH), 2022
Antonio Alvarez Valdivia
Soheil Habibian
Carly Mendenhall
Francesco Fuentes
Ritish Shailly
Dylan P. Losey
Laura H. Blumenschein
396
11
0
07 Jul 2022
Deceptive Planning for Resource Allocation
American Control Conference (ACC), 2022
Shenghui Chen
Y. Savas
Mustafa O. Karabag
Brian M Sadler
Ufuk Topcu
218
9
0
02 Jun 2022
Reasoning about Counterfactuals to Improve Human Inverse Reinforcement Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Michael S. Lee
H. Admoni
Reid G. Simmons
OffRL
272
10
0
03 Mar 2022
Reinforcement Learning in Practice: Opportunities and Challenges
Yuxi Li
OffRL
375
27
0
23 Feb 2022
Summarising and Comparing Agent Dynamics with Contrastive Spatiotemporal Abstraction
Tom Bewley
J. Lawry
Arthur G. Richards
229
3
0
17 Jan 2022
Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents
Jasmina Gajcin
Rahul Nair
Tejaswini Pedapati
Radu Marinescu
Elizabeth M. Daly
Ivana Dusparic
OffRL
176
14
0
17 Dec 2021
Wrapped Haptic Display for Communicating Physical Robot Learning
Antonio Alvarez Valdivia
Ritish Shailly
Naman Seth
Francesco Fuentes
Dylan P. Losey
Laura H. Blumenschein
206
4
0
08 Nov 2021
Explaining Reward Functions to Humans for Better Human-Robot Collaboration
Lindsay M. Sanneman
J. Shah
165
5
0
08 Oct 2021
Communicating Inferred Goals with Passive Augmented Reality and Active Haptic Feedback
J. F. Mullen
Josh Mosier
Sounak Chakrabarti
Anqi Chen
Tyler White
Dylan P. Losey
139
34
0
03 Sep 2021
Improving HRI through robot architecture transparency
International Journal of Social Robotics (JSR), 2021
L. Hindemith
Anna-Lisa Vollmer
Christiane B. Wiebel-Herboth
Britta Wrede
323
7
0
26 Aug 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey
Richard Dazeley
Peter Vamplew
Francisco Cruz
295
80
0
20 Aug 2021
Here's What I've Learned: Asking Questions that Reveal Reward Learning
Soheil Habibian
Ananth Jonnavittula
Dylan P. Losey
303
22
0
02 Jul 2021
Explainable Autonomous Robots: A Survey and Perspective
Tatsuya Sakai
Takayuki Nagai
308
87
0
06 May 2021
"I Don't Think So": Summarizing Policy Disagreements for Agent Comparison
AAAI Conference on Artificial Intelligence (AAAI), 2021
Yotam Amitai
Ofra Amir
LLMAG
223
13
0
05 Feb 2021
Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning
Artificial Intelligence (AI), 2021
Matthew Lyle Olson
Roli Khanna
Lawrence Neal
Fuxin Li
Weng-Keen Wong
CML
271
86
0
29 Jan 2021
Value Alignment Verification
International Conference on Machine Learning (ICML), 2020
Daniel S. Brown
Jordan Jack Schneider
Anca D. Dragan
S. Niekum
310
41
0
02 Dec 2020
Interactive Visualization for Debugging RL
Shuby Deshpande
Benjamin Eysenbach
J. Schneider
276
8
0
14 Aug 2020
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps
Tobias Huber
Katharina Weitz
Elisabeth André
Ofra Amir
FAtt
414
71
0
18 May 2020
Tradeoff-Focused Contrastive Explanation for MDP Planning
IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2020
Roykrong Sukkerd
R. Simmons
David Garlan
242
28
0
27 Apr 2020
Explainable Agents Through Social Cues: A Review
Sebastian Wallkötter
Silvia Tulli
Ginevra Castellano
Ana Paiva
Mohamed Chetouani
254
13
0
11 Mar 2020
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example
Serena Booth
Yilun Zhou
Ankit J. Shah
J. Shah
BDL
485
2
0
19 Feb 2020
Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and Limitations
Artificial Intelligence (AI), 2019
Pedro Sequeira
Melinda Gervasio
444
120
0
19 Dec 2019
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