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Cameron Hickert
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2020 – today
- 2024
- [c7]Raphael Norman-Tenazas, Cameron Hickert, Tamim Sookoor, Aurora C. Schmidt, Edward Staley, Joseph Maurio, Jesse Silverberg, Paul Wood, Yair Amir:
Towards Trustworthy Distributed AI Demand Response. ICAA 2024: 106-109 - [i6]Vindula Jayawardana, Baptiste Freydt, Ao Qu, Cameron Hickert, Edgar Sanchez, Catherine Tang, Mark Taylor, Blaine Leonard, Cathy Wu:
Mitigating Metropolitan Carbon Emissions with Dynamic Eco-driving at Scale. CoRR abs/2408.05609 (2024) - [i5]Cameron Hickert, Zhongxia Yan, Cathy Wu:
A Data-Informed Analysis of Scalable Supervision for Safety in Autonomous Vehicle Fleets. CoRR abs/2409.09500 (2024) - [i4]Vindula Jayawardana, Baptiste Freydt, Ao Qu, Cameron Hickert, Zhongxia Yan, Cathy Wu:
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning. CoRR abs/2410.15221 (2024) - 2023
- [j1]Cameron Hickert, Sirui Li, Cathy Wu:
Cooperation for Scalable Supervision of Autonomy in Mixed Traffic. IEEE Trans. Robotics 39(4): 2751-2769 (2023) - 2022
- [c6]John Mern, Kyle Hatch, Ryan Silva, Cameron Hickert, Tamim Sookoor, Mykel J. Kochenderfer:
Autonomous Attack Mitigation for Industrial Control Systems. DSN Workshops 2022: 28-36 - [c5]Cameron Hickert, Ali Tekeoglu, Joseph Maurio, Ryan Watson, Daniel P. Syed, Jeffrey S. Chavis, Gill Brown, Tamim Sookoor:
Distributed Ledgers for Enhanced Machine-to-Machine Trust in Smart Cities. ICCCN 2022: 1-7 - [c4]Cameron Hickert, Ali Tekeoglu, Ryan Watson, Joseph Maurio, Daniel P. Syed, Jeffrey S. Chavis, Gill Brown, Tamim Sookoor:
Trust Me, I'm Lying: Enhancing Machine-to-Machine Trust. ICCPS 2022: 1-2 - [c3]Vlada Dementyeva, Cameron Hickert, Nicolas R. Sarfaraz, Sebastián A. Zanlongo, Tamim Sookoor:
Runtime Assurance for Intelligent Cyber-Physical Systems. ICCPS 2022: 288-289 - [c2]Ryan Silva, Cameron Hickert, Nicolas R. Sarfaraz, Jeff Brush, Josh Silbermann, Tamim Sookoor:
AlphaSOC: Reinforcement Learning-based Cybersecurity Automation for Cyber-Physical Systems. ICCPS 2022: 290-291 - 2021
- [c1]Brett Daley, Cameron Hickert, Christopher Amato:
Stratified Experience Replay: Correcting Multiplicity Bias in Off-Policy Reinforcement Learning. AAMAS 2021: 1486-1488 - [i3]Brett Daley, Cameron Hickert, Christopher Amato:
Stratified Experience Replay: Correcting Multiplicity Bias in Off-Policy Reinforcement Learning. CoRR abs/2102.11319 (2021) - [i2]John Mern, Kyle Hatch, Ryan Silva, Cameron Hickert, Tamim Sookoor, Mykel J. Kochenderfer:
Autonomous Attack Mitigation for Industrial Control Systems. CoRR abs/2111.02445 (2021) - [i1]Cameron Hickert, Sirui Li, Cathy Wu:
Cooperation for Scalable Supervision of Autonomy in Mixed Traffic. CoRR abs/2112.07569 (2021)
Coauthor Index
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