Andrew Best

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 25

Top Topics

Preference Learning

Autonomous Vehicles

Virtual Environment

Top Venues

Publications

Ruya Karagulle, Nikos Aréchiga, Andrew Best, Jonathan A. DeCastro, Necmiye Ozay
A Safe Preference Learning Approach for Personalization With Applications to Autonomous Vehicles. IEEE Robotics Autom. Lett. 9 (5) (2024)
Ruya Karagulle, Necmiye Ozay, Nikos Aréchiga, Jonathan A. DeCastro, Andrew Best
Incorporating Logic in Online Preference Learning for Safe Personalization of Autonomous Vehicles. HSCC (2024)
Mohamad Louai Shehab, Antoine Aspeel, Nikos Aréchiga, Andrew Best, Necmiye Ozay
Learning true objectives: Linear algebraic characterizations of identifiability in inverse reinforcement learning. L4DC (2024)
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
Personalizing Driver Safety Interfaces via Driver Cognitive Factors Inference. CoRR (2024)
Mariah L. Schrum, Emily Sumner, Matthew C. Gombolay, Andrew Best
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving. IEEE Trans. Robotics 40 (2024)
Mariah L. Schrum, Emily Sumner, Matthew C. Gombolay, Andrew Best
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving. CoRR (2023)
Ruya Karagulle, Nikos Aréchiga, Andrew Best, Jonathan A. DeCastro, Necmiye Ozay
A Preference Learning Approach to Develop Safe and Personalizable Autonomous Vehicles. CoRR (2023)
Ruya Karagulle, Nikos Aréchiga, Andrew Best, Jonathan A. DeCastro, Necmiye Ozay
Poster Abstract: Safety Guaranteed Preference Learning Approach for Autonomous Vehicles. HSCC (2023)
Xin Qin, Nikos Aréchiga, Jyotirmoy Deshmukh, Andrew Best
Robust Testing for Cyber-Physical Systems using Reinforcement Learning. MEMOCODE (2023)
Vitaly Bergelson, Andrew Best, Alex Iosevich
Sums of Powers in Large Finite Fields: A Mix of Methods. Am. Math. Mon. 128 (8) (2021)
Andrew Best, Sahil Narang, Dinesh Manocha
SPA: Verbal Interactions between Agents and Avatars in Shared Virtual Environments using Propositional Planning. CoRR (2020)
Andrew Best, Sahil Narang, Dinesh Manocha
SPA: Verbal Interactions between Agents and Avatars in Shared Virtual Environments using Propositional Planning. VR (2020)
Sahil Narang, Andrew Best, Dinesh Manocha
Inferring User Intent using Bayesian Theory of Mind in Shared Avatar-Agent Virtual Environments. IEEE Trans. Vis. Comput. Graph. 25 (5) (2019)
Xin Qin, Nikos Aréchiga, Andrew Best, Jyotirmoy V. Deshmukh
Automatic Testing and Falsification with Dynamically Constrained Reinforcement Learning. CoRR (2019)
Sahil Narang, Andrew Best, Dinesh Manocha
Simulating Movement Interactions Between Avatars & Agents in Virtual Worlds Using Human Motion Constraints. VR (2018)
Andrew Best, Sahil Narang, Lucas Pasqualin, Daniel Barber, Dinesh Manocha
AutonoVi-Sim: Autonomous Vehicle Simulation Platform With Weather, Sensing, and Traffic Control. CVPR Workshops (2018)
Sahil Narang, Andrew Best, Ari Shapiro, Dinesh Manocha
Generating Virtual Avatars with Personalized Walking Gaits using Commodity Hardware. ACM Multimedia (Thematic Workshops) (2017)
Andrew Best, Sahil Narang, Daniel Barber, Dinesh Manocha
AutonoVi: Autonomous vehicle planning with dynamic maneuvers and traffic constraints. IROS (2017)
Daniel Barber, Andrew Best
Connected and Automated Vehicle Simulation to Enhance Vehicle Message Delivery. AHFE (7) (2017)
Sahil Narang, Andrew Best, Andrew W. Feng, Sin-Hwa Kang, Dinesh Manocha, Ari Shapiro
Motion recognition of self and others on realistic 3D avatars. Comput. Animat. Virtual Worlds 28 (3-4) (2017)
Andrew Best, Sahil Narang, Daniel Barber, Dinesh Manocha
AutonoVi: Autonomous Vehicle Planning with Dynamic Maneuvers and Traffic Constraints. CoRR (2017)
Sahil Narang, Andrew Best, Tanmay Randhavane, Ari Shapiro, Dinesh Manocha
PedVR: simulating gaze-based interactions between a real user and virtual crowds. VRST (2016)
Andrew Best, Sahil Narang, Dinesh Manocha
Real-time reciprocal collision avoidance with elliptical agents. ICRA (2016)
Sujeong Kim, Aniket Bera, Andrew Best, Rohan Chabra, Dinesh Manocha
Interactive and adaptive data-driven crowd simulation. VR (2016)
Andrew Best, Patrick J. Dynes, Xixi Edelsbrunner, Brian McDonald, Steven J. Miller, Kimsy Tor, Caroline Turnage-Butterbaugh, Madeleine Weinstein
Gaussian Distribution of the Number of Summands in Generalized Zeckendorf Decompositions in Small Intervals. Integers 16 (2016)
Chonhyon Park, Andrew Best, Sahil Narang, Dinesh Manocha
Simulating high-DOF human-like agents using hierarchical feedback planner. VRST (2015)
Andrew Best, Sahil Narang, Sean Curtis, Dinesh Manocha
DenseSense: Interactive Crowd Simulation using Density-Dependent Filters. Symposium on Computer Animation (2014)