Andrew Best

According to our database, Andrew Best authored at least 25 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

2024

A Safe Preference Learning Approach for Personalization With Applications to Autonomous Vehicles.

Ruya Karagulle, Nikos Aréchiga, Andrew Best, Jonathan A. DeCastro, Necmiye Ozay

IEEE Robotics Autom. Lett., May, 2024

MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving.

Mariah L. Schrum, Emily Sumner, Matthew C. Gombolay, Andrew Best

IEEE Trans. Robotics, 2024

Personalizing Driver Safety Interfaces via Driver Cognitive Factors Inference.

Emily S. Sumner, Jonathan A. DeCastro, Jean Costa, Deepak E. Gopinath, Everlyne Kimani, Shabnam Hakimi, Allison Morgan, Andrew Best, Hieu Nguyen, Daniel J. Brooks, Bassam ul Haq, Andrew Patrikalakis, Hiroshi Yasuda, Katharine Sieck, Avinash Balachandran, Tiffany L. Chen, Guy Rosman

CoRR, 2024

Learning true objectives: Linear algebraic characterizations of identifiability in inverse reinforcement learning.

Mohamad Louai Shehab, Antoine Aspeel, Nikos Aréchiga, Andrew Best, Necmiye Ozay

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Incorporating Logic in Online Preference Learning for Safe Personalization of Autonomous Vehicles.

Ruya Karagulle, Necmiye Ozay, Nikos Aréchiga, Jonathan A. DeCastro, Andrew Best

Proceedings of the 27th ACM International Conference on Hybrid Systems: Computation and Control, 2024

2023

A Preference Learning Approach to Develop Safe and Personalizable Autonomous Vehicles.

Ruya Karagulle, Nikos Aréchiga, Andrew Best, Jonathan A. DeCastro, Necmiye Ozay

CoRR, 2023

Robust Testing for Cyber-Physical Systems using Reinforcement Learning.

Xin Qin, Nikos Aréchiga, Jyotirmoy Deshmukh, Andrew Best

Proceedings of the 21st ACM-IEEE International Symposium on Formal Methods and Models for System Design, 2023

Poster Abstract: Safety Guaranteed Preference Learning Approach for Autonomous Vehicles.

Ruya Karagulle, Nikos Aréchiga, Andrew Best, Jonathan A. DeCastro, Necmiye Ozay

Proceedings of the 26th ACM International Conference on Hybrid Systems: Computation and Control, 2023

2021

Sums of Powers in Large Finite Fields: A Mix of Methods.

Vitaly Bergelson, Andrew Best, Alex Iosevich

Am. Math. Mon., 2021

2020

SPA: Verbal Interactions between Agents and Avatars in Shared Virtual Environments using Propositional Planning.

Andrew Best, Sahil Narang, Dinesh Manocha

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2020

2019

Inferring User Intent using Bayesian Theory of Mind in Shared Avatar-Agent Virtual Environments.

Sahil Narang, Andrew Best, Dinesh Manocha

IEEE Trans. Vis. Comput. Graph., 2019

Automatic Testing and Falsification with Dynamically Constrained Reinforcement Learning.

Xin Qin, Nikos Aréchiga, Andrew Best, Jyotirmoy V. Deshmukh

CoRR, 2019

2018

Interactive Motion Planning for Multi-agent Systems with Physics-based and Behavior Constraints.

Andrew Best

PhD thesis, 2018

Simulating Movement Interactions Between Avatars & Agents in Virtual Worlds Using Human Motion Constraints.

Sahil Narang, Andrew Best, Dinesh Manocha

Proceedings of the 2018 IEEE Conference on Virtual Reality and 3D User Interfaces, 2018

AutonoVi-Sim: Autonomous Vehicle Simulation Platform With Weather, Sensing, and Traffic Control.

Andrew Best, Sahil Narang, Lucas Pasqualin, Daniel Barber, Dinesh Manocha

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Motion recognition of self and others on realistic 3D avatars.

Sahil Narang, Andrew Best, Andrew W. Feng, Sin-Hwa Kang, Dinesh Manocha, Ari Shapiro

Comput. Animat. Virtual Worlds, 2017

Generating Virtual Avatars with Personalized Walking Gaits using Commodity Hardware.

Sahil Narang, Andrew Best, Ari Shapiro, Dinesh Manocha

Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

AutonoVi: Autonomous vehicle planning with dynamic maneuvers and traffic constraints.

Andrew Best, Sahil Narang, Daniel Barber, Dinesh Manocha

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Connected and Automated Vehicle Simulation to Enhance Vehicle Message Delivery.

Daniel Barber, Andrew Best

Proceedings of the Advances in Human Factors in Simulation and Modeling, 2017

2016

Gaussian Distribution of the Number of Summands in Generalized Zeckendorf Decompositions in Small Intervals.

Andrew Best, Patrick J. Dynes, Xixi Edelsbrunner, Brian McDonald, Steven J. Miller, Kimsy Tor, Caroline Turnage-Butterbaugh, Madeleine Weinstein

Integers, 2016

PedVR: simulating gaze-based interactions between a real user and virtual crowds.

Sahil Narang, Andrew Best, Tanmay Randhavane, Ari Shapiro, Dinesh Manocha

Proceedings of the 22nd ACM Conference on Virtual Reality Software and Technology, 2016

Interactive and adaptive data-driven crowd simulation.

Sujeong Kim, Aniket Bera, Andrew Best, Rohan Chabra, Dinesh Manocha

Proceedings of the 2016 IEEE Virtual Reality, 2016

Real-time reciprocal collision avoidance with elliptical agents.

Andrew Best, Sahil Narang, Dinesh Manocha

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Simulating high-DOF human-like agents using hierarchical feedback planner.

Chonhyon Park, Andrew Best, Sahil Narang, Dinesh Manocha

Proceedings of the 21st ACM Symposium on Virtual Reality Software and Technology, 2015

2014

DenseSense: Interactive Crowd Simulation using Density-Dependent Filters.

Andrew Best, Sahil Narang, Sean Curtis, Dinesh Manocha

Proceedings of the Eurographics / ACM SIGGRAPH Symposium on Computer Animation, 2014