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06/20/2023
Adversarial Search and Track with Multiagent Reinforcement Learning in Sparsely Observable Environment
We study a search and tracking (S T) problem for a team of dynamic sea...
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06/19/2023
Learning Models of Adversarial Agent Behavior under Partial Observability
The need for opponent modeling and tracking arises in several real-world...
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04/07/2023
The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration
As high-speed, agile robots become more commonplace, these robots will h...
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12/29/2022
Utilizing Human Feedback for Primitive Optimization in Wheelchair Tennis
Agile robotics presents a difficult challenge with robots moving at high...
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10/05/2022
Athletic Mobile Manipulator System for Robotic Wheelchair Tennis
Athletics are a quintessential and universal expression of humanity. Fro...
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09/24/2022
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations
Learning from Demonstration (LfD) approaches empower end-users to teach ...
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09/08/2022
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming
Recent advances in machine learning have led to growing interest in Expl...
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02/04/2022
Learning Interpretable, High-Performing Policies for Continuous Control Problems
Gradient-based approaches in reinforcement learning (RL) have achieved t...
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10/08/2021
Towards Sample-efficient Apprenticeship Learning from Suboptimal Demonstration
Learning from Demonstration (LfD) seeks to democratize robotics by enabl...
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08/21/2021
Heterogeneous Graph Attention Networks for Learning Diverse Communication
Multi-agent teaming achieves better performance when there is communicat...
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10/17/2020
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression
Learning from Demonstration (LfD) seeks to democratize robotics by enabl...
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01/27/2020
Heterogeneous Learning from Demonstration
The development of human-robot systems able to leverage the strengths of...
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01/02/2020
Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation
Reinforcement learning (RL) has achieved tremendous success as a general...
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06/14/2019
Personalized Apprenticeship Learning from Heterogeneous Decision-Makers
Human domain experts solve difficult planning problems by drawing on yea...
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03/14/2019