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  • University of California, Berkeley
  • Seoul - Berkeley - Manhattan
  • 17:36 (UTC -08:00)

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mintaeshkim/README.md

Mintæ Kim

Current State

  • Ph.D. Student in Machine Learning and Control at Hybrid Robotics Lab, BAIR, UC Berkeley
  • Working on Reinforcement Learning

Research Interests

High-Level

Scalable RL, Skill Discovery and Search, Robust and Safe RL, Data-Efficient RL
Can agent performance almost surely monotone increase using any data stream?

Low-Level

Offline RL, Off2On RL, Off-Policy Q-Learning, Self/Unsupervised RL, Dynamical Systems

Pinned Loading

  1. roverfly roverfly Public

    🛸 RoVerFly: Robust and Versatile Implicit Hybrid Control of Quadrotor-Payload Systems (ACC 2026)

    Python 4

  2. flappy_control flappy_control Public

    🦇 PD Control of Bat-Inspired Flapping Wing UAV (IROS 2025)

    Python 4