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jhoon-cho/README.md

Welcome πŸ‘‹

Jung-Hoon Cho


🧠 Research

I work at the intersection of machine learning, decision-making, and transportation systems, with a focus on:

  • πŸ“Š Learning & Decision Making

    • Reinforcement Learning, Contextual Reinforcement Learning, Generalization, Transfer Learning
    • Multi-objective Optimization, Agentic Modeling, Large Language Models
    • Sequential Decision-making under Uncertainty
  • πŸš‹ Transportation Systems

    • Transit Design, Shared Mobility, Mixed Autonomy, Advisory Autonomy
    • Compliance-aware and participation-sensitive planning
  • 🌱 Sustainability & πŸ›£οΈ Infrastructure

    • Decarbonization and eco-driving incentives
    • Data-driven system design for equitable and efficient mobility
    • Energy-efficient Automatic Train Control

πŸ”— Learn more: www.junghooncho.com


πŸ“„ Publications


πŸ“« Contact


πŸ› οΈ Tools & Languages


jhoon-cho

jhoon-cho

Pinned Loading

  1. MBTL MBTL Public

    Model-Based Transfer Learning for Contextual Reinforcement Learning (NeurIPS 2024)

    Python 27 5

  2. mit-wu-lab/SD-MBTL mit-wu-lab/SD-MBTL Public

    Jupyter Notebook