I am broadly interested in learning-enabled autonomy. In light of this, I am interested in making
multi-agent reinforcement learning seamlessly generalize across problem variations (solving Contextual MDPs). Real-world application-wise, I am interested in planning for autonomous vehicles with
problem variations. In the past, I have also worked on mathematical programming for combinatorial optimizations and natural language processing for information extraction. Currently, I am also leading the project Greenwave.
I am always open for new collaborations. Feel free to reach out if you're
interested in connecting!
Mitigating Metropolitan Vehicular Carbon Emissions with Semi-autonomous Vehicles using Deep Reinforcement Learning Vindula Jayawardana, Baptiste Freydt, Ao Qu, Cameron Hickert, Edgar Sanchez, Catherine Tang, Sunera Chandrasiri, Mark Taylor, Blaine Leonard, C. Wu
Selected Recent Publications
For a complete list of publications, please visit my Google
Scholar page.
@INPROCEEDINGS{jayawardana2022residual, author={Jayawardana, Vindula and Li, Sirui and Wu, Cathy and Farid, Yashar and Oguchi, Kentaro},
booktitle={IEEE International Conference on Robotics and Automation (ICRA)},
title={Generalizing Cooperative Eco-driving via Multi-residual Task Learning}, year={2024}}
@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={Learning Eco-Driving Strategies at Signalized Intersections},
author={Vindula Jayawardana and Cathy Wu},
booktitle={20th European Control Conference (ECC)},
year={2022},
}
@INPROCEEDINGS{suo2024corridor, author={Suo, Dajiang and Jayawardana,
Vindula and
and Wu, Cathy},
booktitle={IEEE Transactions on Intelligent Transportation Systems
(T-ITS)},
title={Model-free Learning of Corridor Clearance: A Near-term Deployment
Perspective}, year={2024}}
@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, 45-611
Cambridge, MA 02139
vindula [AT] mit [DOT] edu