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Learning Models of Adversarial Agent Behavior Under Partial Observability., , , , , and . IROS, page 3688-3695. (2023)Diffusion Models for Multi-target Adversarial Tracking., , , and . MRS, page 142-148. IEEE, (2023)Concerning Trends in Likert Scale Usage in Human-robot Interaction: Towards Improving Best Practices., , , , , and . ACM Trans. Hum. Robot Interact., 12 (3): 33:1-33:32 (2023)Impacts of Robot Learning on User Attitude and Behavior., , , , and . HRI, page 534-543. ACM, (2023)Toward Adaptive Driving Styles for Automated Driving with Users' Trust and Preferences., , and . HRI, page 940-944. IEEE / ACM, (2022)Effects of Anthropomorphism and Accountability on Trust in Human Robot Interaction., and . HRI, page 33-42. ACM, (2020)Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation., , , , and . AAMAS, page 1454-1462. International Foundation for Autonomous Agents and Multiagent Systems / ACM, (2024)Negative Result for Learning from Demonstration: Challenges for End-Users Teaching Robots with Task And Motion Planning Abstractions., , , and . Robotics: Science and Systems, (2022)Adversarial Search and Tracking with Multiagent Reinforcement Learning in Sparsely Observable Environment., , , , , and . MRS, page 43-49. IEEE, (2023)Diffusion-Reinforcement Learning Hierarchical Motion Planning in Adversarial Multi-agent Games., , , and . CoRR, (2024)