Sotabase

Career

· Researcher, Berkeley Artificial Intelligence Research Lab (BAIR)2024–
· Scientific Engineering Associate, Lawrence Berkeley National Laboratory2019–2019

Publications (12)

Benchmarks for reinforcement learning in mixed-autonomy traffic
Conference on Robot Learning · 2018
170
cited
Simulation to scaled city: zero-shot policy transfer for traffic control via autonomous vehicles
International Conference on Cyber-Physical Systems · 2018
97
cited
Robust Reinforcement Learning using Adversarial Populations
arXiv.org · 2020
89
cited
Zero-Shot Autonomous Vehicle Policy Transfer: From Simulation to Real-World via Adversarial Learning
2020 IEEE 16th International Conference on Control & Automation (ICCA) · 2019
49
cited
Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs
arXiv.org · 2024
26
cited
Traffic Control via Connected and Automated Vehicles (CAVs): An Open-Road Field Experiment with 100 CAVs
IEEE Control Systems · 2025
14
cited
Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test
arXiv.org · 2024
10
cited
Traffic Smoothing Controllers for Autonomous Vehicles Using Deep Reinforcement Learning and Real-World Trajectory Data
2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) · 2023
9
cited
Flow: Open Source Reinforcement Learning for Traffic Control
2018
7
cited
Reinforcement Learning-Based Oscillation Dampening: Scaling Up Single-Agent Reinforcement Learning Algorithms to a 100-Autonomous-Vehicle Highway Field Operational Test
IEEE Control Systems · 2025
3
cited
Cooperative Reinforcement Learning-based Damping of Lane-Change-Induced Waves
2023 IEEE Intelligent Vehicles Symposium (IV) · 2023
Robust deep-reinforcement learning policies for mixed-autonomy traffic
2021
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Kathy Jang | Researcher Profile | Sotabase | Sotabase