research
∙
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...
share
research
∙
06/19/2023
Learning Models of Adversarial Agent Behavior under Partial Observability
The need for opponent modeling and tracking arises in several real-world...
research
∙
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...
research
∙
12/29/2022
Utilizing Human Feedback for Primitive Optimization in Wheelchair Tennis
Agile robotics presents a difficult challenge with robots moving at high...
research
∙
12/06/2022
Safe Inverse Reinforcement Learning via Control Barrier Function
Learning from Demonstration (LfD) is a powerful method for enabling robo...
research
∙
10/05/2022
Athletic Mobile Manipulator System for Robotic Wheelchair Tennis
Athletics are a quintessential and universal expression of humanity. Fro...
research
∙
09/24/2022
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations
Learning from Demonstration (LfD) approaches empower end-users to teach ...
research
∙
02/14/2022
Strategy Discovery and Mixture in Lifelong Learning from Heterogeneous Demonstration
Learning from Demonstration (LfD) approaches empower end-users to teach ...
research
∙
10/08/2021
Towards Sample-efficient Apprenticeship Learning from Suboptimal Demonstration
Learning from Demonstration (LfD) seeks to democratize robotics by enabl...
research
∙
10/17/2020
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression
Learning from Demonstration (LfD) seeks to democratize robotics by enabl...
research
∙
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...
research
∙
12/11/2018
