Jung-Hoon Cho
jhcho.bsky.social
Jung-Hoon Cho
@jhcho.bsky.social
Ph.D. Candidate @MIT
Reposted by Jung-Hoon Cho
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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January 5, 2025 at 3:59 PM
🌎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!
👼 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
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