Heterogeneous Learning from Demonstration. - Rohan R. Paleja; Matthew C. Gombolay (HRI, 2019)

Inferring Personalized Bayesian Embeddings for Learning from Heterogeneous Demonstration. - Rohan R. Paleja; Matthew C. Gombolay (CoRR, 2019)

Personalized Apprenticeship Learning from Heterogeneous Decision-Makers. - Rohan R. Paleja; Andrew Silva; Matthew C. Gombolay (CoRR, 2019)

Learning from Suboptimal Demonstration via Self-Supervised Reward Regression. - Letian Chen; Rohan R. Paleja; Matthew C. Gombolay (CoRL, 2020)

Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation. - Letian Chen; Rohan R. Paleja; Muyleng Ghuy; Matthew C. Gombolay (HRI, 2020)

Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations. - Rohan R. Paleja; Andrew Silva; Letian Chen; Matthew C. Gombolay (NeurIPS, 2020)

Multi-Agent Graph-Attention Communication and Teaming. - Yaru Niu; Rohan R. Paleja; Matthew C. Gombolay (AAMAS, 2021)

Effects of Social Factors and Team Dynamics on Adoption of Collaborative Robot Autonomy. - Mariah L. Schrum; Glen Neville; Michael Johnson; Nina Moorman; Rohan R. Paleja; Karen M. Feigh; Matthew C. Gombolay (HRI, 2021)

The Utility of Explainable AI in Ad Hoc Human-Machine Teaming. - Rohan R. Paleja; Muyleng Ghuy; Nadun Ranawaka Arachchige; Reed Jensen; Matthew C. Gombolay (NeurIPS, 2021)

Heterogeneous Graph Attention Networks for Learning Diverse Communication. - Esmaeil Seraj; Zheyuan Wang; Rohan R. Paleja; Matthew Sklar; Anirudh Patel; Matthew C. Gombolay (CoRR, 2021)

Towards Sample-efficient Apprenticeship Learning from Suboptimal Demonstration. - Letian Chen; Rohan R. Paleja; Matthew C. Gombolay (CoRR, 2021)

Mutual Understanding in Human-Machine Teaming. - Rohan R. Paleja (AAAI, 2022)

Learning Efficient Diverse Communication for Cooperative Heterogeneous Teaming. - Esmaeil Seraj; Zheyuan Wang; Rohan R. Paleja; Daniel Martin; Matthew Sklar; Anirudh Patel; Matthew C. Gombolay (AAMAS, 2022)

Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations. - Letian Chen; Sravan Jayanthi; Rohan R. Paleja; Daniel Martin; Viacheslav Zakharov; Matthew C. Gombolay (CoRL, 2022)

Learning Interpretable, High-Performing Policies for Autonomous Driving. - Rohan R. Paleja; Yaru Niu; Andrew Silva; Chace Ritchie; Sugju Choi; Matthew C. Gombolay (Robotics: Science and Systems, 2022)

Using machine learning to predict perfusionists' critical decision-making during cardiac surgery. - Roger D. Dias; Marco A. Zenati; Geoffrey Rance; Srey Rithy; David Arney; Letian Chen; Rohan R. Paleja; Lauren R. Kennedy-Metz; Matthew C. Gombolay (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022)

Learning Interpretable, High-Performing Policies for Continuous Control Problems. - Rohan R. Paleja; Yaru Niu; Andrew Silva; Chace Ritchie; Sugju Choi; Matthew C. Gombolay (CoRR, 2022)

Utilizing Human Feedback for Primitive Optimization in Wheelchair Tennis. - Arjun Krishna; Zulfiqar Zaidi; Letian Chen; Rohan R. Paleja; Esmaeil Seraj; Matthew C. Gombolay (CoRR, 2022)

The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration. - Kin Man Lee; Arjun Krishna; Zulfiqar Zaidi; Rohan R. Paleja; Letian Chen; Erin Hedlund-Botti; Mariah Schrum; Matthew C. Gombolay (HRI, 2023)

Learning Models of Adversarial Agent Behavior Under Partial Observability. - Sean Ye; Manisha Natarajan; Zixuan Wu; Rohan R. Paleja; Letian Chen; Matthew C. Gombolay (IROS, 2023)

Adversarial Search and Tracking with Multiagent Reinforcement Learning in Sparsely Observable Environment. - Zixuan Wu; Sean Ye; Manisha Natarajan; Letian Chen; Rohan R. Paleja; Matthew C. Gombolay (MRS, 2023)

Adversarial Search and Track with Multiagent Reinforcement Learning in Sparsely Observable Environment. - Zixuan Wu; Sean Ye; Manisha Natarajan; Letian Chen; Rohan R. Paleja; Matthew C. Gombolay (CoRR, 2023)

Interpretable Reinforcement Learning for Robotics and Continuous Control. - 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 075; Subramanya Nageshrao; et al. (CoRR, 2023)

Athletic Mobile Manipulator System for Robotic Wheelchair Tennis. - 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; et al. (IEEE Robotics Autom. Lett., 2023)

Unsupervised Behavior Inference From Human Action Sequences. - Sam L. Polk; Eric J. Pabon Cancel; Rohan R. Paleja; Kimberlee Chestnut Chang; Reed Jensen; Mabel D. Ramirez (CoG, 2024)

Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems. - Rohan R. Paleja; Michael Munje; Kimberlee Chestnut Chang; Reed Jensen; Matthew C. Gombolay (NeurIPS, 2024)

Faster Model Predictive Control via Self-Supervised Initialization Learning. - Zhaoxin Li; Letian Chen; Rohan R. Paleja; Subramanya Nageshrao; Matthew C. Gombolay (CoRR, 2024)

Asynchronous Training of Mixed-Role Human Actors in a Partially-Observable Environment. - Kimberlee Chestnut Chang; Reed Jensen; Rohan R. Paleja; Sam L. Polk; Robert Seater; Jackson Steilberg; Curran Schiefelbein; Melissa Scheldrup; Matthew C. Gombolay; Mabel D. Ramirez (CoRR, 2024)

Interactive and Explainable Robot Learning: A Comprehensive Review. - Esmaeil Seraj; Kin Man Lee; Zulfiqar Zaidi; Qingyu Xiao; Zhaoxin Li; Arthur Nascimento; Sanne van Waveren; Pradyumna Tambwekar; Rohan R. Paleja; Devleena Das; Matthew C. Gombolay (Found. Trends Robotics, 2024)

Heterogeneous Policy Networks for Composite Robot Team Communication and Coordination. - Esmaeil Seraj; Rohan R. Paleja; Luis Pimentel; Kin Man Lee; Zheyuan Wang; Daniel Martin; Matthew Sklar; John Z. Zhang; Zahi M. Kakish; Matthew C. Gombolay (IEEE Trans. Robotics, 2024)

Generalized Behavior Learning from Diverse Demonstrations. - Varshith Sreeramdass; Rohan R. Paleja; Letian Chen; Sanne van Waveren; Matthew C. Gombolay (ICLR, 2025)

Learning Multi-Agent Coordination for Replenishment At Sea. - Byeolyi Han; Minwoo Cho; Letian Chen; Rohan R. Paleja; Zixuan Wu; Sean Ye; Esmaeil Seraj; David Sidoti; Matthew C. Gombolay (IEEE Robotics Autom. Lett., 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 (CoRR, 2025)