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20212026
most citedStratified Experience Replay: Correcting Multiplicity Bias in Off-Policy Reinforcement Learning

3 citations · 4 across the 10 of their papers we have counts for

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5 papers · 1 filter

eess.SY2026

The Calibration Illusion in Traffic Microsimulation

Cameron Hickert, Maryam Samaei, Athena Wang +5

The transportation community seeks to use calibration methods for highway traffic microsimulation. This is a response to the time-consuming and subjective nature of traditional man…

eess.SY2026

Dynamic Gradient-Based Calibration for Robust and Accurate Traffic Macrosimulation

Shreyaa Raghavan, Cameron Hickert, Monica Chan +1

Robust and accurate calibration of macroscopic traffic flow models such as METANET is critical for reliable prediction and effective control. While gradient-based methods are desir…

eess.SY2026

Probability-Aware Parking Selection

Cameron Hickert, Sirui Li, Zhengbing He +1

Current navigation systems conflate time-to-drive with the true time-to-arrive by ignoring parking search duration and the final walking leg. Such underestimation can significantly…

eess.SY2024

A Data-Informed Analysis of Scalable Supervision for Safety in Autonomous Vehicle Fleets

Cameron Hickert, Zhongxia Yan, Cathy Wu

Autonomous driving is a highly anticipated approach toward eliminating roadway fatalities. At the same time, the bar for safety is both high and costly to verify. This work conside…

eess.SY2024

Mitigating Metropolitan Carbon Emissions with Dynamic Eco-driving at Scale

Vindula Jayawardana, Baptiste Freydt, Ao Qu +6

The sheer scale and diversity of transportation make it a formidable sector to decarbonize. Here, we consider an emerging opportunity to reduce carbon emissions: the growing adopti…