2 citations · 4 across the 2 of their papers we have counts for
9 papers
Motivating Physical Activity via Competitive Human-Robot Interaction
Boling Yang, Golnaz Habibi, Patrick E. Lancaster +2
This project aims to motivate research in competitive human-robot interaction by creating a robot competitor that can challenge human users in certain scenarios such as physical ex…
Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers
Michael Everett, Golnaz Habibi, Jonathan P. How
Neural Networks (NNs) can provide major empirical performance improvements for robotic systems, but they also introduce challenges in formally analyzing those systems' safety prope…
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
Dong-Ki Kim, Miao Liu, Matthew Riemer +6
A fundamental challenge in multiagent reinforcement learning is to learn beneficial behaviors in a shared environment with other simultaneously learning agents. In particular, each…
Robustness Analysis of Neural Networks via Efficient Partitioning with Applications in Control Systems
Michael Everett, Golnaz Habibi, Jonathan P. How
Neural networks (NNs) are now routinely implemented on systems that must operate in uncertain environments, but the tools for formally analyzing how this uncertainty propagates to…
Incremental Learning of Motion Primitives for Pedestrian Trajectory Prediction at Intersections
Golnaz Habibi, Nikita Japuria, Jonathan P. How
This paper presents a novel incremental learning algorithm for pedestrian motion prediction, with the ability to improve the learned model over time when data is incrementally avai…
Learning Hierarchical Teaching Policies for Cooperative Agents
Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei +7
Collective learning can be greatly enhanced when agents effectively exchange knowledge with their peers. In particular, recent work studying agents that learn to teach other teamma…