Justin Lidard

Princeton University

H-index: 2

North America-United States

About Justin Lidard

Justin Lidard, With an exceptional h-index of 2 and a recent h-index of 2 (since 2020), a distinguished researcher at Princeton University, specializes in the field of Robotics, Dynamic Games, Multi-Agent Systems, Human-Robot Interaction, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Risk-Calibrated Human-Robot Interaction via Set-Valued Intent Prediction

Blending Data-Driven Priors in Dynamic Games

Provably Efficient Multi-Agent Reinforcement Learning with Fully Decentralized Communication

Feedback Control and Parameter Estimation for Lift Maximization of a Pitching Airfoil

Justin Lidard Information

University	Princeton University
Position	Graduate Research Assistant
Citations(all)	7
Citations(since 2020)	7
Cited By	1
hIndex(all)	2
hIndex(since 2020)	2
i10Index(all)	0
i10Index(since 2020)	0
Email	Access Email
University Profile Page	Princeton University
Google Scholar	View Google Scholar Profile

Justin Lidard Skills & Research Interests

Robotics

Dynamic Games

Multi-Agent Systems

Human-Robot Interaction

Machine Learning

Justin Lidard

Princeton University

About Justin Lidard

Justin Lidard Information

Justin Lidard Skills & Research Interests

Top articles of Justin Lidard

Risk-Calibrated Human-Robot Interaction via Set-Valued Intent Prediction

Justin Lidard

Anirudha Majumdar

Blending Data-Driven Priors in Dynamic Games

Justin Lidard

Haimin Hu

Zixu Zhang

Deepak Gopinath

Guy Rosman

Naomi Leonard

María Santos

Jaime Fernández Fisac

Provably Efficient Multi-Agent Reinforcement Learning with Fully Decentralized Communication

Justin Lidard

Udari Madhushani

Feedback Control and Parameter Estimation for Lift Maximization of a Pitching Airfoil

Debdipta Goswami

Girguis Sedky