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2020 – today
- 2024
[j6]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): 4226-4233 (2024)- [j5]Mariah L. Schrum, Emily Sumner, Matthew C. Gombolay, Andrew Best:
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving. IEEE Trans. Robotics 40: 1952-1965 (2024) - [c15]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: 5:1-5:11 - [c14]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: 1266-1277 - [i6]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 abs/2402.05893 (2024) - 2023
- [c13]Ruya Karagulle, Nikos Aréchiga, Andrew Best, Jonathan A. DeCastro, Necmiye Ozay:
Poster Abstract: Safety Guaranteed Preference Learning Approach for Autonomous Vehicles. HSCC 2023: 24:1-24:2 - [c12]Xin Qin, Nikos Aréchiga, Jyotirmoy Deshmukh, Andrew Best:
Robust Testing for Cyber-Physical Systems using Reinforcement Learning. MEMOCODE 2023: 36-46 - [i5]Mariah L. Schrum, Emily Sumner, Matthew C. Gombolay, Andrew Best:
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving. CoRR abs/2301.08595 (2023) - [i4]Ruya Karagulle, Nikos Aréchiga, Andrew Best, Jonathan A. DeCastro, Necmiye Ozay:
A Preference Learning Approach to Develop Safe and Personalizable Autonomous Vehicles. CoRR abs/2311.02099 (2023) - 2021
- [j4]Vitaly Bergelson, Andrew Best, Alex Iosevich:
Sums of Powers in Large Finite Fields: A Mix of Methods. Am. Math. Mon. 128(8): 701-718 (2021) - 2020
- [c11]Andrew Best, Sahil Narang, Dinesh Manocha:
SPA: Verbal Interactions between Agents and Avatars in Shared Virtual Environments using Propositional Planning. VR 2020: 117-126 - [i3]Andrew Best, Sahil Narang, Dinesh Manocha:
SPA: Verbal Interactions between Agents and Avatars in Shared Virtual Environments using Propositional Planning. CoRR abs/2002.03246 (2020)
2010 – 2019
- 2019
- [j3]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): 2113-2122 (2019) - [i2]Xin Qin, Nikos Aréchiga, Andrew Best, Jyotirmoy V. Deshmukh:
Automatic Testing and Falsification with Dynamically Constrained Reinforcement Learning. CoRR abs/1910.13645 (2019) - 2018
- [b1]Andrew Best:
Interactive Motion Planning for Multi-agent Systems with Physics-based and Behavior Constraints. University of North Carolina, Chapel Hill, USA, 2018 - [c10]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: 1048-1056 - [c9]Sahil Narang, Andrew Best, Dinesh Manocha:
Simulating Movement Interactions Between Avatars & Agents in Virtual Worlds Using Human Motion Constraints. VR 2018: 9-16 - 2017
- [j2]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) - [c8]Daniel Barber, Andrew Best:
Connected and Automated Vehicle Simulation to Enhance Vehicle Message Delivery. AHFE (7) 2017: 38-46 - [c7]Andrew Best, Sahil Narang, Daniel Barber, Dinesh Manocha:
AutonoVi: Autonomous vehicle planning with dynamic maneuvers and traffic constraints. IROS 2017: 2629-2636 - [c6]Sahil Narang, Andrew Best, Ari Shapiro, Dinesh Manocha:
Generating Virtual Avatars with Personalized Walking Gaits using Commodity Hardware. ACM Multimedia (Thematic Workshops) 2017: 219-227 - [i1]Andrew Best, Sahil Narang, Daniel Barber, Dinesh Manocha:
AutonoVi: Autonomous Vehicle Planning with Dynamic Maneuvers and Traffic Constraints. CoRR abs/1703.08561 (2017) - 2016
- [j1]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: A6 (2016) - [c5]Andrew Best, Sahil Narang, Dinesh Manocha:
Real-time reciprocal collision avoidance with elliptical agents. ICRA 2016: 298-305 - [c4]Sujeong Kim, Aniket Bera, Andrew Best, Rohan Chabra, Dinesh Manocha:
Interactive and adaptive data-driven crowd simulation. VR 2016: 29-38 - [c3]Sahil Narang, Andrew Best, Tanmay Randhavane, Ari Shapiro, Dinesh Manocha:
PedVR: simulating gaze-based interactions between a real user and virtual crowds. VRST 2016: 91-100 - 2015
- [c2]Chonhyon Park, Andrew Best, Sahil Narang, Dinesh Manocha:
Simulating high-DOF human-like agents using hierarchical feedback planner. VRST 2015: 153-162 - 2014
- [c1]Andrew Best, Sahil Narang, Sean Curtis, Dinesh Manocha:
DenseSense: Interactive Crowd Simulation using Density-Dependent Filters. Symposium on Computer Animation 2014: 97-102
Coauthor Index
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