All News
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Feb 2026
Have you noticed how navigation apps include walking & waiting for public transit, but excludes parking & walking for driving? Our article on parking-aware navigation (T-ITS 2026) digs into this and is featured on the MIT home page!
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Feb 2026
Learning to Segment for Vehicle Routing Problems was selected for an Oral (1%) presentation at ICLR 2026!
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Jan 2026
Two papers accepted to ICLR 2026: Learning to Segment for Vehicle Routing Problems and Towards Efficient Constraint Handling in Neural Solvers for Routing Problems!
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Aug 2025
MIT News features our work (TR-C 2025) showing that controlling vehicle speeds to mitigate traffic across a city can cut carbon emissions between 11 and 22 percent. To do this, we use deep reinforcement learning to optimize one million eco-driving scenarios.
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May 2025
MIT News features our ICLR 2025 article introducing a new benchmark! It uses a real-world traffic problem to test generalization progress in deep reinforcement learning algorithms.
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Apr 2025
Our ICLR 2024 article on using deep learning to avoid redundant calculations in large scheduling problems is featured on the MIT home page!
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Apr 2025
I’m so excited to be awarded the 2025 Ole Madsen Mentoring Award from the MIT Department of Civil and Environmental Engineering (CEE). Mentoring is a large part of what makes this job so rewarding.
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Apr 2025
I was honored to keynote MIT’s Campus Preview Weekend (CPW) that welcomes the newly admitted undergraduate class to campus. I remember how fun my CPW was! I spoke about: What If We Could Design Societal-Scale Systems That Just Work?
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Mar 2025
Shreyaa Raghavan is selected for a 2025-2028 NSF Graduate Research Fellowship (GRFP).
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Nov 2024
Our NeurIPS 2024 article on Model-based Transfer Learning for Contextual Reinforcement Learning is featured by MIT News! Our new contextual RL method is up to 40x more sample-efficient by strategically selecting training tasks that generalize best.
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Sep 2024
We delivered a hands-on tutorial on Reproducibility in Transportation Research at ITSC 2024! Reproducibility is big challenge in the field, and this tutorial is a step forward.
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Sep 2024
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Sep 2024
Shreyaa Raghavan is selected for a 2024 DDETFP Graduate Fellowship.
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Sep 2024
Vindula Jayawardana is selected as a 2024 Rising Star in Cyber-Physical Systems research (NSF and University of Virginia).
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Aug 2024
I had tremendous fun speaking on the Keynote Panel on Applications of Reinforcement Learning at the inaugural RLC 2024.
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Aug 2024
Jung-Hoon Cho is selected for a 2024 IEEE ITSS WiE/YP Fellowship (IEEE Intelligent Transportation Systems Society).
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Aug 2024
Vindula Jayawardana is selected for a 2024 IEEE ITSS WiE/YP Fellowship (IEEE Intelligent Transportation Systems Society).
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Jul 2024
Shreyaa Raghavan is selected as a 2024-2025 Accenture Fellow.
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Feb 2024
Our ICLR 2024 article on New AI model could streamline operations in a robotic warehouse is featured on the MIT front page! We introduce a new neural network architecture that captures complex relationships across time and space in the warehouse for hundreds of robot paths, and amortizes the computation for efficiency.
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Dec 2023
Our NeurIPS 2023 article on AI for accelerating problem-solving in complex scenarios is featured on the MIT front page! We introduce a machine learning algorithm to intelligently configure mixed-integer linear programming (MILP) separators, which accelerates both open source and commercial MILP solvers.
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Nov 2023
I shared some thoughts on Generative AI for Transportation (YouTube) at MIT’s Generative AI: Shaping the Future Symposium. (MIT News coverage)
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May 2023
Our T-RO 2023 article on increasing safety and reliability of autonomous vehicles was featured on MIT News! We analyzed how cooperative intelligence and ideas from air traffic control can drastically improve reliability of autonomous vehicles.
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Sep 2023
Sirui Li is selected as a 2023-2024 Amazon Robotics Fellow.
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Mar 2023
Cathy Wu receives 2023 NSF CAREER Award to study generalization for advancing large-scale cyber-physical systems.
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Sep 2022
Vindula Jayawardana is awarded the 2022 Harold L. Hazen Teaching Award (EECS MIT).
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Sep 2022
Jung-Hoon Cho receives the 2022-2026 Kwanjeong Educational Foundation (KEF) Scholarship for graduate studies.
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Aug 2022
It was fun to geek out about the Hidden Cause of Traffic Jams—and How to Solve Them for this fantastic educational video by NOVA.
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May 2022
Thrilled for our ECC 2022 work on employing artificial intelligence to help autonomous vehicles avoid idling at red lights to be featured on the MIT front page.
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Feb 2022
I had a fantastic conversation about the future of our roads (hint hint: powered by AI) on The Robot Brains podcast by Professor Pieter Abbeel.
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Dec 2021
I had a fun interview with the MIT Schwarzman College of Computing on our new project with Amazon, where we’ll be tackling algorithmic challenges of coordinating hundreds of robots — with the ultimate goal of safely integrating automation and AI into our world.
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Dec 2021
Our NeurIPS 2021 Spotlight Talk on machine learning for speeding up vehicle routing was featured by MIT News! We devise a strategy which accelerates the best algorithmic solvers by 10-100x for large sets of cities.
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Dec 2021
I am honored to be part of this year’s TEDxMIT, speaking about how cars are becoming smart enough to meet the needs of cities, rather than the other way around.
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Sep 2021
Congratulations to Sirui Li and Zee Yan for our work on learning for large-scale vehicle routing, accepted at NeurIPS 2021 for a Spotlight Talk (<3%).
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May 2021
Our work on deep reinforcement learning for analyzing systems of mixed traffic of autonomous and human drivers has been accepted for publication in the IEEE Transactions on Robotics.
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Feb 2021
Excited to be profiled by MIT: Examining the world through signals and systems.
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Sep 2020
Zee Yan is selected for a 2020 DDETFP Graduate Fellowship.
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Apr 2020
I had a fun conversation with Sam Charrington on the TWIML AI Podcast about Simulating the Future of Traffic with RL.
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Jan 2020
I was immensely honored to testify on the future of AI in transportation to the National Academy’s Transportation Research Board (TRB) at the Executive Committee Policy Session on Artificial Intelligence in Transportation.
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Oct 2019
I am honored to be awarded the First Place 2019 IEEE ITSS Best Ph.D. Dissertation Award, for my thesis titled “Learning and Optimization for Mixed Autonomy Systems – A Mobility Context.” More info.
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Jul 2019
I joined MIT as an assistant professor.
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Mar 2019
I am honored to be inducted into the Microsoft Location Summit Hall of Fame, for receiving the First Place Award for my recent talk on “Integrating Autonomy into Urban Systems.”
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Dec 2018
I am honored to receive the 2018 Milton Pikarsky Memorial Award from the Council of University Transportation Centers (CUTC) for my PhD dissertation. More info.
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Nov 2018
I joined the Reinforcement Learning Group at Microsoft Research AI in Redmond as a postdoctoral researcher.
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Nov 2018
The Flow team and I gave a full-day Tutorial and a half-day Workshop on Reinforcement Learning and Transportation at the IEEE Intelligent Transportation Systems Conference (ITSC) in Maui, Hawaii. All tutorial materials are available here.
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Sep 2018
I gave an invited talk at the O’Reilly Artificial Intelligence Conference on “Reinforcement Learning for Mixed Autonomy Traffic” about the Flow project.