Jung-Hoon Cho
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Jung-Hoon Cho
@jhcho.bsky.social
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Ph.D. Candidate @MIT
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Reposted by Jung-Hoon Cho
cathywu.bsky.social
Reproducible research and open science at #TRBAM! Stop by and thank the authors and organizers for contributing their work openly for the community to build upon.

Curated by the REproducible Research In Transportation Engineering (RERITE) Working Group

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Sunday, January 5th Open-Source Data Repositories and Technologies Workshop Session: Workshop Location: Convention Center, 150A Time: 9:00 AM - 12:00 PM ET Monday, January 6th Understanding Driver–Pedestrian Interactions to Predict Driver Yielding: Naturalistic Open-Source Data Set Collected in Minnesota Session: Lectern+Poster Location: Convention Center, Salon B Time: 8:00 AM - 9:45 AM ET Benchmarking the Capabilities of LLMs in Transportation System Engineering Session: Poster Location: Convention Center, Hall A Time: 1:30 PM - 3:15 PM ET V2XPnP: A Real-World Sequential Dataset and Fusion Pipeline for Perception and Prediction with Vehicle-to-Everything Communication Session: Poster Location: Convention Center, Hall A Time: 1:30 PM - 3:15 PM ET Introducing RERITE: REproducible Research In Transportation Engineering (RERITE) Working Group Session: ACP50 Committee Meeting Location: Marriot Marquis, M2 Time: 1:30 PM - 5:30 PM ET Tuesday, January 7th An Open-Source Framework for Evaluating Cooperative Perception in Urban Areas Session: Poster Location: Convention Center, Hall A Time: 6:00 PM - 7:30 PM ET V2X-Real: a Large-scale Dataset for V2X Cooperative Perception Session: Poster Location: Convention Center, Hall A Time: 6:00 PM - 7:30 PM ET Imputation and Correction of Traffic Signal Data for Waymo Open Motion Dataset Session: Poster Location: Convention Center, Hall A Time: 6:00 PM - 7:30 PM ET Annual Zephyr Reception Session: Reception Location: Busboys & Poets. Time: 8:00 PM - 10:00 PM ET Wednesday, January 8th Building Digital Infrastructure: Scalable and Reproducible Data Integration and Traffic Theory for Congestion Bottleneck Identification and Traffic Management Strategy Evaluation Session: Poster Location: Convention Center, Hall A Time: 8:00 AM - 9:45 AM ET I-24 MOTION research workshop Session: Workshop Location: Open Gov Hub meeting space Time: 2:00 PM - 5:00 PM ET
January 5, 2025 at 3:59 PM
jhcho.bsky.social
🌎Excited to present our work, MBTL, at #NeurIPS2024! 🚀 Reliable RL training is critical to applying deep RL to real problems (incl. transportation systems 🚡🚗). DM me if you're attending! Happy to chat about RL, contextual RL, multi-agent systems, and new opportunities!
cathywu.bsky.social Cathy Wu @cathywu.bsky.social · Dec 8
👼 As an applied RL researcher, this is the most optimistic I have been about RL in years. It feels like seeing the light at the end of the tunnel when RL training starts working reliably. Without a ton of compute or tuning. Very excited for what is to come. Here is what we did👇
December 8, 2024 at 6:32 PM
Reposted by Jung-Hoon Cho
cathywu.bsky.social
Reinforcement learning (RL) remains surprisingly brittle to contextual variations in tasks. Our new method (NeurIPS 2024) for solving contextual RL problems achieves 5-50x better sample efficiency on standard & traffic benchmarks. Featured by MIT news! news.mit.edu/2024/mit-res...
MIT researchers develop an efficient way to train more reliable AI agents
MIT researchers developed an efficient approach for training more reliable reinforcement learning models, focusing on complex tasks that involve variability. This could enable the leverage of reinforc...
news.mit.edu
November 25, 2024 at 7:35 PM