5 papers
Task Specialization Fine-Tuning for Contextual Reinforcement Learning
Jianan Zhou, Jung-Hoon Cho, Tianyue Zhou +5
Contextual Reinforcement Learning (CRL) seeks to generalize classical RL by maximizing task coverage across a context space of related tasks. While prior works often train from scr…
Formalizing and Estimating Task-Space Complexity for Zero-shot Generalization
Jung-Hoon Cho, Heling Zhang, Siqi Du +2
Generalization is crucial for modern control, but learning across tasks can be costly. Recent work shows that zero-shot transfer, in which a controller designed for a source task i…
Eco-driving Incentive Mechanisms for Mitigating Emissions in Urban Transportation
M. Umar B. Niazi, Jung-Hoon Cho, Munther A. Dahleh +2
This paper develops incentive mechanisms for promoting eco-driving with the overarching goal of minimizing emissions in transportation networks. The system operator provides driver…
Incentive Design for Eco-driving in Urban Transportation Networks
M. Umar B. Niazi, Jung-Hoon Cho, Munther A. Dahleh +2
Eco-driving emerges as a cost-effective and efficient strategy to mitigate greenhouse gas emissions in urban transportation networks. Acknowledging the persuasive influence of ince…
Hybrid System Stability Analysis of Multi-Lane Mixed-Autonomy Traffic
Sirui Li, Roy Dong, Cathy Wu
Autonomous vehicles (AVs) hold vast potential to enhance transportation systems by reducing congestion, improving safety, and lowering emissions. AV controls lead to emergent traff…