Julie Shah

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 61

Top Topics

Reinforcement Learning

Navigation Systems

Top Venues

Publications

Andi Peng, Ilia Sucholutsky, Belinda Z. Li, Theodore R. Sumers, Thomas L. Griffiths, Jacob Andreas, Julie Shah
Learning with Language-Guided State Abstractions. ICLR (2024)
Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao, Michael Hagenow, Julie Shah
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations. ICLR (2024)
Eike Schneiders, Christopher K. Fourie, Stanley Celestin, Julie Shah, Malte F. Jung
Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration. CoRR (2024)
Eike Schneiders, Christopher K. Fourie, Stanley Celestin, Julie Shah, Malte F. Jung
Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration. CHI (2024)
Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao, Michael Hagenow, Julie Shah
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations. CoRR (2024)
Andi Peng, Mycal Tucker, Eoin M. Kenny, Noga Zaslavsky, Pulkit Agrawal, Julie Shah
Human-Guided Complexity-Controlled Abstractions. CoRR (2023)
Cristian-Paul Bara, Ziqiao Ma, Yingzhuo Yu, Julie Shah, Joyce Chai
Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue. IJCAI (2023)
Lindsay Sanneman, Mycal Tucker, Julie Shah
An Information Bottleneck Characterization of the Understanding-Workload Tradeoff. CoRR (2023)
Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation. ICML (2023)
Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie Shah, Anca D. Dragan
Aligning Robot and Human Representations. CoRR (2023)
Ankit Shah, Pritish Kamath, Shen Li, Patrick L. Craven, Kevin J. Landers, Kevin Oden, Julie Shah
Supervised Bayesian specification inference from demonstrations. Int. J. Robotics Res. 42 (14) (2023)
Lindsay Sanneman, Julie Shah
Transparent Value Alignment. HRI (Companion) (2023)
Yilun Zhou, Julie Shah
The Solvability of Interpretability Evaluation Metrics. EACL (Findings) (2023)
Serena Booth, W. Bradley Knox, Julie Shah, Scott Niekum, Peter Stone, Alessandro Allievi
The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications. AAAI (2023)
Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation. CoRR (2023)
Cristian-Paul Bara, Ziqiao Ma, Yingzhuo Yu, Julie Shah, Joyce Chai
Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue. CoRR (2023)
Eoin M. Kenny, Mycal Tucker, Julie Shah
Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes. ICLR (2023)
Mycal Tucker, William Kuhl, Khizer Shahid, Seth Karten, Katia P. Sycara, Julie Shah
Probe-Based Interventions for Modifying Agent Behavior. CoRR (2022)
Mycal Tucker, Julie Shah, Roger Levy, Noga Zaslavsky
Towards Human-Agent Communication via the Information Bottleneck Principle. CoRR (2022)
Yilun Zhou, Marco Túlio Ribeiro, Julie Shah
ExSum: From Local Explanations to Model Understanding. CoRR (2022)
Yilun Zhou, Julie Shah
The Solvability of Interpretability Evaluation Metrics. CoRR (2022)
Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Sarit Kraus, Kevin Leyton-Brown, David C. Parkes, William H. Press, AnnaLee Saxenian, Julie Shah, Milind Tambe, Astro Teller
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence. CoRR (2022)
Christopher K. Fourie, Nadia Figueroa, Julie Shah, Marta Bienkiewicz, Benoît G. Bardy, Etienne Burdet, Phani-Teja Singamaneni, Rachid Alami, Arianna Curioni, Günther Knoblich, Wafa Johal, Dagmar Sternad, Malte F. Jung
Joint Action, Adaptation, and Entrainment in Human-Robot Interaction. HRI (2022)
Michael L. Littman, Ifeoma Ajunwa, Guy Berger, Craig Boutilier, Morgan Currie, Finale Doshi-Velez, Gillian K. Hadfield, Michael C. Horowitz, Charles Isbell, Hiroaki Kitano, Karen Levy, Terah Lyons, Melanie Mitchell, Julie Shah, Steven Sloman, Shannon Vallor, Toby Walsh
Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report. CoRR (2022)
Mycal Tucker, Julie Shah
Prototype Based Classification from Hierarchy to Fairness. CoRR (2022)
Mycal Tucker, Tiwalayo Eisape, Peng Qian, Roger Levy, Julie Shah
When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes. CoRR (2022)
Serena Booth, Sanjana Sharma, Sarah Chung, Julie Shah, Elena L. Glassman
Revisiting Human-Robot Teaching and Learning Through the Lens of Human Concept Learning. HRI (2022)
Yilun Zhou, Marco Túlio Ribeiro, Julie Shah
ExSum: From Local Explanations to Model Understanding. NAACL-HLT (2022)
Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah
Do Feature Attribution Methods Correctly Attribute Features? AAAI (2022)
Yanwei Wang, Nadia Figueroa, Shen Li, Ankit Shah, Julie Shah
Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations. CoRL (2022)
Mycal Tucker, Tiwalayo Eisape, Peng Qian, Roger Levy, Julie Shah
When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes. NAACL-HLT (2022)
Yanwei Wang, Nadia Figueroa, Shen Li, Ankit Shah, Julie Shah
Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations. CoRR (2022)
Seth Karten, Siddharth Agrawal, Mycal Tucker, Dana Hughes, Michael Lewis, Julie Shah, Katia P. Sycara
The Enforcers: Consistent Sparse-Discrete Methods for Constraining Informative Emergent Communication. CoRR (2022)
Ankit J. Shah, Pritish Kamath, Shen Li, Patrick L. Craven, Kevin J. Landers, Kevin Oden, Julie Shah
Supervised Bayesian Specification Inference from Demonstrations. CoRR (2021)
Serena Booth, Yilun Zhou, Ankit Shah, Julie Shah
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example. AAAI (2021)
Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah
RoCUS: Robot Controller Understanding via Sampling. CoRL (2021)
Yilun Zhou, Serena Booth, Marco Tílio Ribeiro, Julie Shah
Do Feature Attribution Methods Correctly Attribute Features? CoRR (2021)
Ramya Ramakrishnan, Vaibhav V. Unhelkar, Ece Kamar, Julie Shah
A Bayesian Approach to Identifying Representational Errors. CoRR (2021)
Lindsay Sanneman, Julie Shah
Explaining Reward Functions to Humans for Better Human-Robot Collaboration. CoRR (2021)
Mycal Tucker, Huao Li, Siddharth Agrawal, Dana Hughes, Katia P. Sycara, Michael Lewis, Julie Shah
Emergent Discrete Communication in Semantic Spaces. CoRR (2021)
Yiming Zheng, Serena Booth, Julie Shah, Yilun Zhou
The Irrationality of Neural Rationale Models. CoRR (2021)
Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah
RoCUS: Robot Controller Understanding via Sampling. CoRR (2020)
Serena Booth, Ankit Shah, Yilun Zhou, Julie Shah
Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach. CoRR (2020)
Ankit J. Shah, Julie Shah
Interactive Robot Training for Temporal Tasks. HRI (Companion) (2020)
Ankit Shah, Shen Li, Julie Shah
Planning With Uncertain Specifications (PUnS). IEEE Robotics Autom. Lett. 5 (2) (2020)
Ankit Shah, Julie Shah
Interactive Robot Training for Non-Markov Tasks. CoRR (2020)
Mycal Tucker, Yilun Zhou, Julie Shah
Adversarially Guided Self-Play for Adopting Social Conventions. CoRR (2020)
Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Eric Horvitz, Julie Shah
Blind Spot Detection for Safe Sim-to-Real Transfer. J. Artif. Intell. Res. 67 (2020)
Serena Booth, Christian Muise, Julie Shah
Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively. IJCAI (2019)
Yilun Zhou, Julie Shah, Steven Schockaert
Learning Household Task Knowledge from WikiHow Descriptions. SemDeep@IJCAI (2019)
Ankit Shah, Shen Li, Julie Shah
Planning With Uncertain Specifications (PUnS). CoRR (2019)
Joseph Kim, Christian Muise, Ankit Shah, Shubham Agarwal, Julie Shah
Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations. IJCAI (2019)
Elisabeth André, Ana Paiva, Julie Shah, Selma Sabanovic
Social Agents for Teamwork and Group Interactions (Dagstuhl Seminar 19411). Dagstuhl Reports 9 (10) (2019)
Ramya Ramakrishnan, Ece Kamar, Besmira Nushi, Debadeepta Dey, Julie Shah, Eric Horvitz
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution. AAAI (2019)
Yilun Zhou, Steven Schockaert, Julie Shah
Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness. WWW (2019)
Kyle Kotowick, Julie Shah
Effects of an Adaptive Modality Selection Algorithm for Navigation Systems. UIST (2018)
Elizabeth Broadbent, Deborah Johanson, Julie Shah
A New Model to Enhance Robot-Patient Communication: Applying Insights from the Medical World. ICSR (2018)
Kyle Kotowick, Julie Shah
Modality Switching for Mitigation of Sensory Adaptation and Habituation in Personal Navigation Systems. IUI (2018)
Kyle Kotowick, Julie Shah
Intelligent Sensory Modality Selection for Electronic Supportive Devices. IUI (2017)
Abhizna Butchibabu, Christopher Sparano-Huiban, Liz Sonenberg, Julie Shah
Implicit Coordination Strategies for Effective Team Communication. Hum. Factors 58 (4) (2016)
Pieter Abbeel, Ken Goldberg, Gregory D. Hager, Julie Shah
Toward a Science of Autonomy for Physical Systems: Paths. CoRR (2016)
Been Kim, Larry A. M. Bush, Julie Shah
Quantitative estimation of the strength of agreements in goal-oriented meetings. CogSIMA (2013)