I am interested in advancing the understanding of learning for control for large-scale cyber-physical systems and how such learning could enable advanced decision-making.
In light of this, my research includes 1). making learning suitable for real-world problems by tackling the complexity, diversity, and scale of real world, and
2). leveraging learning to understand complex dynamical systems and their interplay with each other.
I take sustainable cities as my domain focus with applications in learning for autonomous vehicles and tackling climate change.
Currently, I am also leading the project Greenwave .
Model-free Learning of Multi-objective Corridor Clearance in Mixed Autonomy Vindula Jayawardana*, Dajiang Suo*, Cathy Wu (* = equal contribution)
Mitigating The Braess’s Paradox in a Closed System Using Reinforcement Learning
Yuzhu Huang*, Dingyi Zhuang*, Vindula Jayawardana, Jinhua Zhao, Dajiang Suo, Cathy Wu
What is a Typical Signalized Intersection in a City?
Ao Qu*, Anirudh Valiveru*, Catherine Tang, Vindula Jayawardana, Baptiste Freydt, Cathy Wu
Selected Recent Publications
For a complete list of publications, please visit my Google Scholar page.
@INPROCEEDINGS{jayawardana2022mdpfamily, author={Jayawardana, Vindula and Tang, Catherine and Li, Sirui and Suo, Dajiang and Wu, Cathy},
booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
title={The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning}, year={2022}}
@inproceedings{jayawardana2022ecolearning,
title={Reinforcement Learning for Eco-Lagrangian Control at Intersections},
author={Vindula Jayawardana and Cathy Wu},
booktitle={20th European Control Conference (ECC)},
year={2022},
}
@INPROCEEDINGS{braess_paradox_zhuang, author={Zhuang, Dingyi and Huang, Yuzhu and Jayawardana, Vindula and Zhao, Jinhua and Suo, Dajiang and Wu, Cathy},
booktitle={2021 IEEE International Intelligent Transportation Systems Conference (ITSC)},
title={The Braess Paradox in Dynamic Traffic}, year={2021}}
@INPROCEEDINGS{9565053, author={Jayawardana, Vindula and Landler, Anna and Wu, Cathy},
booktitle={2021 IEEE International Intelligent Transportation Systems Conference (ITSC)},
title={Mixed Autonomous Supervision in Traffic Signal Control}, year={2021}, volume={},
number={}, pages={1767-1773}, doi={10.1109/ITSC48978.2021.9565053}}
@misc{mounesan2021fleet,
title={Fleet management for ride-pooling with meeting points at scale: a case study in the five boroughs of New York City},
author={Motahare Mounesan and Vindula Jayawardana and Yaocheng Wu and Samitha Samaranayake and Huy T. Vo},
year={2021},
eprint={2105.00994},
archivePrefix={arXiv},
primaryClass={eess.SY}
}
Massachusetts Institute of Technology
Laboratory for Information and Decision Systems
77 Massachusetts Avenue, Room 32-D631
Cambridge, MA 02139
vindula [AT] mit [DOT] edu