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 .
Generalizing Eco-Lagrangian Control via Multi-residual Task Learning Vindula Jayawardana, Sirui Li, Cathy Wu, Yashar Farid, Kentaro Oguchi
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{social-driving-jayawardana, author={Jayawardana, Sanjula and Jayawardana,
Vindula and Vidanage, Kaneeka and Wu,
Cathy},
booktitle={2023 IEEE International Intelligent Transportation Systems
Conference (ITSC)},
title={Multi-behavior Learning for Socially Compatible Autonomous Driving}, year={2023}}
@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