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ORCIDMatthew C. Gombolay
Matthew Craig Gombolay
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- affiliation: Georgia Institute of Technology, College of Computing, Atlanta, GA, USA
- affiliation (PhD 2017): Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
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2020 – today
- 2024
[j22]Lakshita Dodeja, Pradyumna Tambwekar
, Erin Hedlund-Botti, Matthew C. Gombolay:
Towards the design of user-centric strategy recommendation systems for collaborative Human-AI tasks. Int. J. Hum. Comput. Stud. 184: 103216 (2024)- [j21]Laura G. Strickland, Matthew C. Gombolay:
Coordinating Team Tactics for Swarm-Versus-Swarm Adversarial Games. J. Aerosp. Inf. Syst. 21(1): 94-113 (2024) - [j20]Mariah L. Schrum, Emily Sumner, Matthew C. Gombolay, Andrew Best:
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving. IEEE Trans. Robotics 40: 1952-1965 (2024) - [c65]Andrew Silva, Pradyumna Tambwekar, Mariah Schrum, Matthew C. Gombolay:
Towards Balancing Preference and Performance through Adaptive Personalized Explainability. HRI 2024: 658-668 - [c64]Yue Yang, Letian Chen, Zulfiqar Zaidi, Sanne van Waveren, Arjun Krishna, Matthew C. Gombolay:
Enhancing Safety in Learning from Demonstration Algorithms via Control Barrier Function Shielding. HRI 2024: 820-829 - [c63]Nina Marie Moorman, Michelle Zhao, Henny Admoni, Reid G. Simmons, Matthew C. Gombolay:
HRI '24: Workshop on Aging in Place. HRI (Companion) 2024: 1344-1345 - [i51]Qingyu Xiao, Zulfiqar Zaidi, Matthew C. Gombolay:
Multi-Camera Asynchronous Ball Localization and Trajectory Prediction with Factor Graphs and Human Poses. CoRR abs/2401.17185 (2024) - [i50]Zixuan Wu, Sean Ye, Manisha Natarajan, Matthew C. Gombolay:
Diffusion-Reinforcement Learning Hierarchical Motion Planning in Adversarial Multi-agent Games. CoRR abs/2403.10794 (2024) - [i49]Sean Ye, Matthew C. Gombolay:
Efficient Trajectory Forecasting and Generation with Conditional Flow Matching. CoRR abs/2403.10809 (2024) - [i48]Manisha Natarajan, Chunyue Xue, Sanne van Waveren, Karen M. Feigh, Matthew C. Gombolay:
Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation. CoRR abs/2403.16178 (2024) - 2023
- [j19]Lina Zhou, Cynthia Rudin, Matthew C. Gombolay, Jim Spohrer, Michelle Zhou, Souren Paul:
From Artificial Intelligence (AI) to Intelligence Augmentation (IA): Design Principles, Potential Risks, and Emerging Issues. AIS Trans. Hum. Comput. Interact. 15(1): 111-135 (2023) - [j18]Andrew Silva, Mariah Schrum, Erin Hedlund-Botti, Nakul Gopalan, Matthew C. Gombolay:
Explainable Artificial Intelligence: Evaluating the Objective and Subjective Impacts of xAI on Human-Agent Interaction. Int. J. Hum. Comput. Interact. 39(7): 1390-1404 (2023) - [j17]Zulfiqar Zaidi, Daniel Martin, Nathaniel Belles, Viacheslav Zakharov, Arjun Krishna, Kin Man Lee, Peter Wagstaff, Sumedh Naik, Matthew Sklar, Sugju Choi, Yoshiki Kakehi, Ruturaj Patil, Divya Mallemadugula, Florian Pesce, Peter Wilson, Wendell Hom, Matan Diamond, Bryan Zhao, Nina Moorman, Rohan R. Paleja, Letian Chen, Esmaeil Seraj, Matthew C. Gombolay:
Athletic Mobile Manipulator System for Robotic Wheelchair Tennis. IEEE Robotics Autom. Lett. 8(4): 2245-2252 (2023) - [j16]Pradyumna Tambwekar, Andrew Silva, Nakul Gopalan, Matthew C. Gombolay:
Natural Language Specification of Reinforcement Learning Policies Through Differentiable Decision Trees. IEEE Robotics Autom. Lett. 8(6): 3621-3628 (2023) - [c62]Zixuan Wu, Sean Charles Ye, Byeolyi Han, Matthew C. Gombolay:
Hijacking Robot Teams Through Adversarial Communication. CoRL 2023: 266-283 - [c61]Sravan Jayanthi, Letian Chen, Nadya Balabanska, Van Duong, Erik Scarlatescu, Ezra Ameperosa, Zulfiqar Haider Zaidi, Daniel Martin, Taylor Keith Del Matto, Masahiro Ono, Matthew C. Gombolay:
DROID: Learning from Offline Heterogeneous Demonstrations via Reward-Policy Distillation. CoRL 2023: 1547-1571 - [c60]Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay:
FedPerC: Federated Learning for Language Generation with Personal and Context Preference Embeddings. EACL (Findings) 2023: 839-852 - [c59]Pradyumna Tambwekar, Lakshita Dodeja, Nathan Vaska, Wei Xu, Matthew C. Gombolay:
A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting. EMNLP (Findings) 2023: 12801-12819 - [c58]Kin Man Lee, Arjun Krishna, Zulfiqar Zaidi, Rohan R. Paleja, Letian Chen, Erin Hedlund-Botti, Mariah Schrum, Matthew C. Gombolay:
The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration. HRI 2023: 261-270 - [c57]Nina Moorman, Erin Hedlund-Botti, Mariah Schrum, Manisha Natarajan, Matthew C. Gombolay:
Impacts of Robot Learning on User Attitude and Behavior. HRI 2023: 534-543 - [c56]Erin Hedlund-Botti, Matthew C. Gombolay:
Investigating Learning from Demonstration in Imperfect and Real World Scenarios. HRI (Companion) 2023: 769-771 - [c55]Sean Ye, Manisha Natarajan, Zixuan Wu, Rohan R. Paleja, Letian Chen, Matthew C. Gombolay:
Learning Models of Adversarial Agent Behavior Under Partial Observability. IROS 2023: 3688-3695 - [c54]Roger D. Dias, Lauren R. Kennedy-Metz, Srey Rithy, Geoffrey Rance, Mahdi Ebnali, David Arney, Matthew C. Gombolay, Marco A. Zenati:
Using Digital Biomarkers for Objective Assessment of Perfusionists' Workload and Acute Stress During Cardiac Surgery. IWBBIO (1) 2023: 443-454 - [c53]Zixuan Wu, Sean Ye, Manisha Natarajan, Letian Chen, Rohan R. Paleja, Matthew C. Gombolay:
Adversarial Search and Tracking with Multiagent Reinforcement Learning in Sparsely Observable Environment. MRS 2023: 43-49 - [c52]Sean Ye, Manisha Natarajan, Zixuan Wu, Matthew C. Gombolay:
Diffusion Models for Multi-target Adversarial Tracking. MRS 2023: 142-148 - [c51]Esmaeil Seraj, Jerry Xiong, Mariah Schrum, Matthew C. Gombolay:
Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams. NeurIPS 2023 - [c50]Nina M. Moorman, Nakul Gopalan, Aman Singh, Erin Botti, Mariah Schrum, Chuxuan Yang, Lakshmi Seelam, Matthew C. Gombolay:
Investigating the Impact of Experience on a User's Ability to Perform Hierarchical Abstraction. Robotics: Science and Systems 2023 - [i47]Pradyumna Tambwekar, Matthew C. Gombolay:
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies. CoRR abs/2301.05347 (2023) - [i46]Lakshita Dodeja, Pradyumna Tambwekar, Erin Hedlund-Botti, Matthew C. Gombolay:
Towards the design of user-centric strategy recommendation systems for collaborative Human-AI tasks. CoRR abs/2301.08144 (2023) - [i45]Mariah L. Schrum, Emily Sumner, Matthew C. Gombolay, Andrew Best:
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving. CoRR abs/2301.08595 (2023) - [i44]Batuhan Altundas, Zheyuan Wang, Joshua Bishop, Matthew C. Gombolay:
Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation. CoRR abs/2301.13279 (2023) - [i43]Kin Man Lee, Arjun Krishna, Zulfiqar Zaidi, Rohan R. Paleja, Letian Chen, Erin Hedlund-Botti, Mariah Schrum, Matthew C. Gombolay:
The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration. CoRR abs/2304.03756 (2023) - [i42]Sean Ye, Manisha Natarajan, Zixuan Wu, Rohan R. Paleja, Letian Chen, Matthew C. Gombolay:
Learning Models of Adversarial Agent Behavior under Partial Observability. CoRR abs/2306.11168 (2023) - [i41]Zixuan Wu, Sean Ye, Manisha Natarajan, Letian Chen, Rohan R. Paleja, Matthew C. Gombolay:
Adversarial Search and Track with Multiagent Reinforcement Learning in Sparsely Observable Environment. CoRR abs/2306.11301 (2023) - [i40]Sean Ye, Manisha Natarajan, Zixuan Wu, Matthew C. Gombolay:
Diffusion Based Multi-Agent Adversarial Tracking. CoRR abs/2307.06244 (2023) - [i39]Tianyu Li, Hyunyoung Jung, Matthew C. Gombolay, Yong Kwon Cho, Sehoon Ha:
CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning. CoRR abs/2309.17046 (2023) - [i38]Rohan R. Paleja, Letian Chen, Yaru Niu, Andrew Silva, Zhaoxin Li, Songan Zhang, Chace Ritchie, Sugju Choi, Kimberlee Chestnut Chang, Hongtei Eric Tseng, Yan Wang, Subramanya Nageshrao, Matthew C. Gombolay:
Interpretable Reinforcement Learning for Robotics and Continuous Control. CoRR abs/2311.10041 (2023) - 2022
- [j15]Esmaeil Seraj, Andrew Silva, Matthew C. Gombolay:
Multi-UAV planning for cooperative wildfire coverage and tracking with quality-of-service guarantees. Auton. Agents Multi Agent Syst. 36(2): 39 (2022) - [j14]Zheyuan Wang, Chen Liu, Matthew C. Gombolay:
Heterogeneous graph attention networks for scalable multi-robot scheduling with temporospatial constraints. Auton. Robots 46(1): 249-268 (2022) - [j13]Roger D. Dias, Marco A. Zenati, Geoffrey Rance, Srey Rithy, David Arney, Letian Chen, Rohan R. Paleja, Lauren R. Kennedy-Metz, Matthew C. Gombolay:
Using machine learning to predict perfusionists' critical decision-making during cardiac surgery. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 10(3): 308-312 (2022) - [j12]Andrew Silva, Nina Moorman, William Silva, Zulfiqar Zaidi, Nakul Gopalan, Matthew C. Gombolay:
LanCon-Learn: Learning With Language to Enable Generalization in Multi-Task Manipulation. IEEE Robotics Autom. Lett. 7(2): 1635-1642 (2022) - [j11]Mariah Schrum, Mark J. Connolly, Eric R. Cole, Mihir Ghetiya, Robert E. Gross, Matthew C. Gombolay:
Meta-Active Learning in Probabilistically Safe Optimization. IEEE Robotics Autom. Lett. 7(4): 10713-10720 (2022) - [j10]Esmaeil Seraj, Letian Chen, Matthew C. Gombolay:
A Hierarchical Coordination Framework for Joint Perception-Action Tasks in Composite Robot Teams. IEEE Trans. Robotics 38(1): 139-158 (2022) - [c49]Zheyuan Wang, Matthew C. Gombolay:
Stochastic Resource Optimization over Heterogeneous Graph Neural Networks for Failure-Predictive Maintenance Scheduling. ICAPS 2022: 527-536 - [c48]Andrew Silva, Rohit Chopra, Matthew C. Gombolay:
Cross-Loss Influence Functions to Explain Deep Network Representations. AISTATS 2022: 1-17 - [c47]Esmaeil Seraj, Zheyuan Wang, Rohan R. Paleja, Daniel Martin, Matthew Sklar, Anirudh Patel, Matthew C. Gombolay:
Learning Efficient Diverse Communication for Cooperative Heterogeneous Teaming. AAMAS 2022: 1173-1182 - [c46]Roger D. Dias, Lauren R. Kennedy-Metz, Steven J. Yule, Matthew C. Gombolay, Marco A. Zenati:
Assessing Team Situational Awareness in the Operating Room via Computer Vision. CogSIMA 2022: 94-96 - [c45]Mariah L. Schrum, Erin Hedlund-Botti, Matthew C. Gombolay:
Reciprocal MIND MELD: Improving Learning From Demonstration via Personalized, Reciprocal Teaching. CoRL 2022: 956-966 - [c44]Letian Chen, Sravan Jayanthi, Rohan R. Paleja, Daniel Martin, Viacheslav Zakharov, Matthew C. Gombolay:
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations. CoRL 2022: 2083-2094 - [c43]Sachin G. Konan, Esmaeil Seraj, Matthew C. Gombolay:
Contrastive Decision Transformers. CoRL 2022: 2159-2169 - [c42]Andrew Hundt, William Agnew, Vicky Zeng, Severin Kacianka, Matthew C. Gombolay:
Robots Enact Malignant Stereotypes. FAccT 2022: 743-756 - [c41]Mariah L. Schrum, Erin Hedlund-Botti, Nina Moorman, Matthew C. Gombolay:
MIND MELD: Personalized Meta-Learning for Robot-Centric Imitation Learning. HRI 2022: 157-165 - [c40]Mariah L. Schrum, Erin Hedlund-Botti, Matthew C. Gombolay:
Personalized Meta-Learning for Domain Agnostic Learning from Demonstration. HRI 2022: 1179-1181 - [c39]Cynthia Matuszek, Harold Soh, Matthew C. Gombolay, Nakul Gopalan, Reid G. Simmons, Stefanos Nikolaidis:
Machine Learning in Human-Robot Collaboration: Bridging the Gap. HRI 2022: 1275-1277 - [c38]Sachin G. Konan, Esmaeil Seraj, Matthew C. Gombolay:
Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming. ICLR 2022 - [c37]Batuhan Altundas, Zheyuan Wang, Joshua Bishop, Matthew C. Gombolay:
Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation. IROS 2022: 11679-11686 - [c36]Nakul Gopalan, Nina Moorman, Manisha Natarajan, Matthew C. Gombolay:
Negative Result for Learning from Demonstration: Challenges for End-Users Teaching Robots with Task And Motion Planning Abstractions. Robotics: Science and Systems 2022 - [c35]Rohan R. Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi, Matthew C. Gombolay:
Learning Interpretable, High-Performing Policies for Autonomous Driving. Robotics: Science and Systems 2022 - [i37]Sachin Konan, Esmaeil Seraj, Matthew C. Gombolay:
Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming. CoRR abs/2201.08484 (2022) - [i36]Rohan R. Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi, Matthew C. Gombolay:
Learning Interpretable, High-Performing Policies for Continuous Control Problems. CoRR abs/2202.02352 (2022) - [i35]Sravan Jayanthi, Letian Chen, Matthew C. Gombolay:
Strategy Discovery and Mixture in Lifelong Learning from Heterogeneous Demonstration. CoRR abs/2202.07014 (2022) - [i34]Max Zuo, Logan Schick, Matthew C. Gombolay, Nakul Gopalan:
Learning Efficient Exploration through Human Seeded Rapidly-exploring Random Trees. CoRR abs/2203.12774 (2022) - [i33]Nina Moorman, Matthew C. Gombolay:
Do People Trust Robots that Learn in the Home? CoRR abs/2204.04260 (2022) - [i32]Esmaeil Seraj, Andrew Silva, Matthew C. Gombolay:
Multi-UAV Planning for Cooperative Wildfire Coverage and Tracking with Quality-of-Service Guarantees. CoRR abs/2206.10544 (2022) - [i31]Andrew Hundt, William Agnew, Vicky Zeng, Severin Kacianka, Matthew C. Gombolay:
Robots Enact Malignant Stereotypes. CoRR abs/2207.11569 (2022) - [i30]Pradyumna Tambwekar, Nathan Vaska, Lakshita Dodeja, Matthew C. Gombolay:
Commander's Intent: A Dataset and Modeling Approach for Human-AI Task Specification in Strategic Play. CoRR abs/2208.08374 (2022) - [i29]Rohan R. Paleja, Muyleng Ghuy, Nadun Ranawaka Arachchige, Reed Jensen, Matthew C. Gombolay:
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming. CoRR abs/2209.03943 (2022) - [i28]Letian Chen, Sravan Jayanthi, Rohan R. Paleja, Daniel Martin, Viacheslav Zakharov, Matthew C. Gombolay:
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations. CoRR abs/2209.11908 (2022) - [i27]Zulfiqar Zaidi, Daniel Martin, Nathaniel Belles, Viacheslav Zakharov, Arjun Krishna, Kin Man Lee, Peter Wagstaff, Sumedh Naik, Matthew Sklar, Sugju Choi, Yoshiki Kakehi, Ruturaj Patil, Divya Mallemadugula, Florian Pesce, Peter Wilson, Wendell Hom, Matan Diamond, Bryan Zhao, Nina Moorman, Rohan R. Paleja, Letian Chen, Esmaeil Seraj, Matthew C. Gombolay:
Athletic Mobile Manipulator System for Robotic Wheelchair Tennis. CoRR abs/2210.02517 (2022) - [i26]Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay:
FedPC: Federated Learning for Language Generation with Personal and Context Preference Embeddings. CoRR abs/2210.03766 (2022) - [i25]Yue Yang, Letian Chen, Matthew C. Gombolay:
Safe Inverse Reinforcement Learning via Control Barrier Function. CoRR abs/2212.02753 (2022) - [i24]Arjun Krishna, Zulfiqar Zaidi, Letian Chen, Rohan R. Paleja, Esmaeil Seraj, Matthew C. Gombolay:
Utilizing Human Feedback for Primitive Optimization in Wheelchair Tennis. CoRR abs/2212.14403 (2022) - 2021
- [c34]Andrew Silva, Matthew C. Gombolay:
Encoding Human Domain Knowledge to Warm Start Reinforcement Learning. AAAI 2021: 5042-5050 - [c33]Esmaeil Seraj, Vahid Azimi, Chaouki T. Abdallah, Seth Hutchinson, Matthew C. Gombolay:
Adaptive Leader-Follower Control for Multi-Robot Teams with Uncertain Network Structure. ACC 2021: 1088-1094 - [c32]Yaru Niu, Rohan R. Paleja, Matthew C. Gombolay:
Multi-Agent Graph-Attention Communication and Teaming. AAMAS 2021: 964-973 - [c31]Elias Stengel-Eskin, Andrew Hundt, Zhuohong He, Aditya Murali, Nakul Gopalan, Matthew C. Gombolay, Gregory D. Hager:
Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions. CoRL 2021: 1486-1501 - [c30]Andrew Hundt, Aditya Murali, Priyanka Hubli, Ran Liu, Nakul Gopalan, Matthew C. Gombolay, Gregory D. Hager:
"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer. CoRL 2021: 1564-1574 - [c29]Mariah L. Schrum, Glen Neville, Michael Johnson, Nina Moorman, Rohan R. Paleja, Karen M. Feigh, Matthew C. Gombolay:
Effects of Social Factors and Team Dynamics on Adoption of Collaborative Robot Autonomy. HRI 2021: 149-157 - [c28]Erin Hedlund, Michael Johnson, Matthew C. Gombolay:
The Effects of a Robot's Performance on Human Teachers for Learning from Demonstration Tasks. HRI 2021: 207-215 - [c27]Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay:
Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers. NAACL-HLT 2021: 2383-2389 - [c26]Rohan R. Paleja, Muyleng Ghuy, Nadun Ranawaka Arachchige, Reed Jensen, Matthew C. Gombolay:
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming. NeurIPS 2021: 610-623 - [i23]Pradyumna Tambwekar, Andrew Silva, Nakul Gopalan, Matthew C. Gombolay:
Interpretable Policy Specification and Synthesis through Natural Language and RL. CoRR abs/2101.07140 (2021) - [i22]Esmaeil Seraj, Zheyuan Wang, Rohan R. Paleja, Matthew Sklar, Anirudh Patel, Matthew C. Gombolay:
Heterogeneous Graph Attention Networks for Learning Diverse Communication. CoRR abs/2108.09568 (2021) - [i21]Mariah L. Schrum, Erin Hedlund, Matthew C. Gombolay:
Improving Robot-Centric Learning from Demonstration via Personalized Embeddings. CoRR abs/2110.03134 (2021) - [i20]Letian Chen, Rohan R. Paleja, Matthew C. Gombolay:
Towards Sample-efficient Apprenticeship Learning from Suboptimal Demonstration. CoRR abs/2110.04347 (2021) - [i19]Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven D. James, Matthew C. Gombolay, Benjamin Rosman:
Learning to Follow Language Instructions with Compositional Policies. CoRR abs/2110.04647 (2021) - 2020
- [j9]Mariah L. Schrum, Matthew C. Gombolay:
When Your Robot Breaks: Active Learning During Plant Failure. IEEE Robotics Autom. Lett. 5(2): 438-445 (2020) - [j8]Zheyuan Wang, Matthew C. Gombolay:
Learning Scheduling Policies for Multi-Robot Coordination With Graph Attention Networks. IEEE Robotics Autom. Lett. 5(3): 4509-4516 (2020) - [c25]Andrew Silva, Matthew C. Gombolay, Taylor W. Killian, Ivan Dario Jimenez Jimenez, Sung-Hyun Son:
Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning. AISTATS 2020: 1855-1865 - [c24]Esmaeil Seraj, Matthew C. Gombolay:
Coordinated Control of UAVs for Human-Centered Active Sensing of Wildfires. ACC 2020: 1645-1652 - [c23]Esmaeil Seraj, Matthew C. Gombolay:
Coordinated Control of UAVs for Human-Centered Active Sensing of Wildfires. ACC 2020: 1845-1852 - [c22]Letian Chen, Rohan R. Paleja, Matthew C. Gombolay:
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression. CoRL 2020: 1262-1277 - [c21]Manisha Natarajan, Matthew C. Gombolay:
Effects of Anthropomorphism and Accountability on Trust in Human Robot Interaction. HRI 2020: 33-42 - [c20]Mariah L. Schrum, Michael Johnson, Muyleng Ghuy, Matthew C. Gombolay:
Four Years in Review: Statistical Practices of Likert Scales in Human-Robot Interaction Studies. HRI (Companion) 2020: 43-52 - [c19]Letian Chen, Rohan R. Paleja, Muyleng Ghuy, Matthew C. Gombolay:
Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation. HRI 2020: 659-668 - [c18]Rohan R. Paleja, Andrew Silva, Letian Chen, Matthew C. Gombolay:
Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations. NeurIPS 2020 - [c17]Siddhartha Banerjee, Matthew C. Gombolay, Sonia Chernova:
A Tale of Two Suggestions: Action and Diagnosis Recommendations for Responding to Robot Failure. RO-MAN 2020: 398-405 - [c16]Zheyuan Wang, Matthew C. Gombolay:
Heterogeneous Graph Attention Networks for Scalable Multi-Robot Scheduling with Temporospatial Constraints. Robotics: Science and Systems 2020 - [i18]Letian Chen, Rohan R. Paleja, Muyleng Ghuy, Matthew C. Gombolay:
Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation. CoRR abs/2001.00503 (2020) - [i17]Mariah L. Schrum, Michael Johnson, Muyleng Ghuy, Matthew C. Gombolay:
Four Years in Review: Statistical Practices of Likert Scales in Human-Robot Interaction Studies. CoRR abs/2001.03231 (2020) - [i16]Rohan R. Paleja, Matthew C. Gombolay:
Heterogeneous Learning from Demonstration. CoRR abs/2001.09569 (2020) - [i15]Esmaeil Seraj, Matthew C. Gombolay:
Coordinated Control of UAVs for Human-Centered Active Sensing of Wildfires. CoRR abs/2006.07969 (2020) - [i14]Ruisen Liu, Manisha Natarajan, Matthew Craig Gombolay:
Human-Robot Team Coordination with Dynamic and Latent Human Task Proficiencies: Scheduling with Learning Curves. CoRR abs/2007.01921 (2020) - [i13]Mariah L. Schrum, Mark J. Connolly, Eric R. Cole, Mihir Ghetiya, Robert E. Gross, Matthew C. Gombolay:
Meta-active Learning in Probabilistically-Safe Optimization. CoRR abs/2007.03742 (2020) - [i12]Letian Chen, Rohan R. Paleja, Matthew C. Gombolay:
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression. CoRR abs/2010.11723 (2020) - [i11]Esmaeil Seraj, Xiyang Wu, Matthew C. Gombolay:
FireCommander: An Interactive, Probabilistic Multi-agent Environment for Joint Perception-Action Tasks. CoRR abs/2011.00165 (2020) - [i10]Andrew Silva, Rohit Chopra, Matthew C. Gombolay:
Using Cross-Loss Influence Functions to Explain Deep Network Representations. CoRR abs/2012.01685 (2020) - [i9]Qian Luo, Jing Wu, Matthew C. Gombolay:
A Generalized Robotic Handwriting Learning System based on Dynamic Movement Primitives (DMPs). CoRR abs/2012.03898 (2020)
2010 – 2019
- 2019
- [j7]Matthew C. Gombolay, Reed Jensen, Sung-Hyun Son:
Machine Learning Techniques for Analyzing Training Behavior in Serious Gaming. IEEE Trans. Games 11(2): 109-120 (2019) - [c15]Rohan R. Paleja, Matthew C. Gombolay:
Heterogeneous Learning from Demonstration. HRI 2019: 730-732 - [c14]Sean Ye, Glen Neville, Mariah Schrum, Matthew C. Gombolay, Sonia Chernova, Ayanna M. Howard:
Human Trust After Robot Mistakes: Study of the Effects of Different Forms of Robot Communication. RO-MAN 2019: 1-7 - [i8]Andrew Silva, Matthew C. Gombolay:
ProLoNets: Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning. CoRR abs/1902.06007 (2019) - [i7]Rohan R. Paleja, Matthew C. Gombolay:
Inferring Personalized Bayesian Embeddings for Learning from Heterogeneous Demonstration. CoRR abs/1903.06047 (2019) - [i6]Esmaeil Seraj, Andrew Silva, Matthew C. Gombolay:
Safe Coordination of Human-Robot Firefighting Teams. CoRR abs/1903.06847 (2019) - [i5]Ivan Dario Jimenez Rodriguez, Taylor W. Killian, Sung-Hyun Son, Matthew C. Gombolay:
Interpretable Reinforcement Learning via Differentiable Decision Trees. CoRR abs/1903.09338 (2019) - [i4]Rohan R. Paleja, Andrew Silva, Matthew C. Gombolay:
Personalized Apprenticeship Learning from Heterogeneous Decision-Makers. CoRR abs/1906.06397 (2019) - [i3]Zheyuan Wang, Matthew C. Gombolay:
Learning to Dynamically Coordinate Multi-Robot Teams in Graph Attention Networks. CoRR abs/1912.02059 (2019) - [i2]Mariah Schrum, Matthew C. Gombolay:
When Your Robot Breaks: Active Learning During Plant Failure. CoRR abs/1912.08116 (2019) - 2018
- [j6]Matthew C. Gombolay, Xi Jessie Yang, Bradley Hayes, Nicole Seo, Zixi Liu, Samir Wadhwania, Tania Yu, Neel Shah, Toni Golen, Julie A. Shah:
Robotic assistance in the coordination of patient care. Int. J. Robotics Res. 37(10) (2018) - [j5]Matthew C. Gombolay, Reed Jensen, Jessica Stigile, Toni Golen, Neel Shah, Sung-Hyun Son, Julie A. Shah:
Human-Machine Collaborative Optimization via Apprenticeship Scheduling. J. Artif. Intell. Res. 63: 1-49 (2018) - [j4]Matthew C. Gombolay, Ronald Wilcox, Julie A. Shah:
Fast Scheduling of Robot Teams Performing Tasks With Temporospatial Constraints. IEEE Trans. Robotics 34(1): 220-239 (2018) - [c13]Joachim de Greeff, Bradley Hayes, Matthew C. Gombolay, Matthew Johnson, Mark A. Neerincx, Jurriaan van Diggelen, Melissa Cefkin, Ivana Kruijff-Korbayová:
Workshop on Longitudinal Human-Robot Teaming. HRI (Companion) 2018: 389-390 - [c12]Joseph Kim, Matthew E. Woicik, Matthew C. Gombolay, Sung-Hyun Son, Julie A. Shah:
Learning to Infer Final Plans in Human Team Planning. IJCAI 2018: 4771-4779 - [i1]Matthew C. Gombolay, Reed Jensen, Jessica Stigile, Toni Golen, Neel Shah, Sung-Hyun Son, Julie A. Shah:
Human-Machine Collaborative Optimization via Apprenticeship Scheduling. CoRR abs/1805.04220 (2018) - 2017
- [j3]Matthew C. Gombolay, Anna Bair, Cindy Huang, Julie A. Shah:
Computational design of mixed-initiative human-robot teaming that considers human factors: situational awareness, workload, and workflow preferences. Int. J. Robotics Res. 36(5-7): 597-617 (2017) - [c11]Matthew Craig Gombolay, Reed Jensen, Jessica Stigile, Sung-Hyun Son, Julie A. Shah:
Learning to Tutor from Expert Demonstrators via Apprenticeship Scheduling. AAAI Workshops 2017 - 2016
- [c10]Matthew C. Gombolay:
Apprenticeship Scheduling for Human-Robot Teams. AAAI 2016: 4297-4298 - [c9]Matthew C. Gombolay, Ankit Shah:
Appraisal of Statistical Practices in HRI vis-a-vis the T-Test for Likert Items/Scales. AAAI Fall Symposia 2016 - [c8]Matthew C. Gombolay, Reed Jensen, Jessica Stigile, Sung-Hyun Son, Julie A. Shah:
Apprenticeship Scheduling: Learning to Schedule from Human Experts. IJCAI 2016: 826-833 - [c7]Matthew C. Gombolay, Xi Jessie Yang, Bradley Hayes, Nicole Seo, Zixi Liu, Samir Wadhwania, Tania Yu, Neel Shah, Toni Golen, Julie A. Shah:
Robotic Assistance in Coordination of Patient Care. Robotics: Science and Systems 2016 - 2015
- [j2]Matthew C. Gombolay, Reymundo A. Gutierrez, Shanelle G. Clarke, Giancarlo F. Sturla, Julie A. Shah:
Decision-making authority, team efficiency and human worker satisfaction in mixed human-robot teams. Auton. Robots 39(3): 293-312 (2015) - [c6]Matthew Craig Gombolay, Cindy Huang, Julie A. Shah:
Coordination of Human-Robot Teaming with Human Task Preferences. AAAI Fall Symposia 2015: 68-73 - [c5]Bradley Hayes, Matthew C. Gombolay, Malte F. Jung, Koen V. Hindriks, Joachim de Greeff, Catholijn M. Jonker, Mark A. Neerincx, Jeffrey M. Bradshaw, Matthew Johnson, Ivana Kruijff-Korbayová, Maarten Sierhuis, Julie A. Shah, Brian Scassellati:
HRI Workshop on Human-Robot Teaming. HRI (Extended Abstracts) 2015: 255-256 - 2014
- [j1]Matthew C. Gombolay, Julie A. Shah:
Schedulability Analysis of Task Sets with Upper- and Lower-Bound Temporal Constraints. J. Aerosp. Inf. Syst. 11(12): 821-841 (2014) - [c4]Matthew Craig Gombolay, Julie Arnold Shah:
Challenges in Collaborative Scheduling of Human-Robot Teams. AAAI Fall Symposia 2014 - [c3]Matthew C. Gombolay, Reymundo Gutierrez, Giancarlo Sturla, Julie A. Shah:
Decision-Making Authority, Team Efficiency and Human Worker Satisfaction in Mixed Human-Robot Teams. Robotics: Science and Systems 2014 - 2013
- [c2]Matthew C. Gombolay, Ronald Wilcox, Julie A. Shah:
Fast Scheduling of Multi-Robot Teams with Temporospatial Constraints. Robotics: Science and Systems 2013 - 2012
- [c1]Matthew C. Gombolay, Julie A. Shah:
A Uniprocessor Scheduling Policy for Non-Preemptive Task Sets with Precedence and Temporal Constraints. Infotech@Aerospace 2012
Coauthor Index
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