Preprint

Journal

• Policy-based Primal-Dual Methods for Concave CMDP with Variance Reduction
  Donghao Ying, Mengzi Amy Guo, Hyunin Lee, Yuhao Ding, Javad Lavaei, and Zuo-Jun Max Shen
  Under revision for JAIR, 2024. [codes]

• Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods with Entropy Regularization
  Yuhao Ding, Junzi Zhang, Hyunin Lee, and Javad Lavaei
  IEEE Transactions on Automatic Control (TAC), 2023.

• Explainable Deep Learning Model for EMG-Based Finger Angle Estimation using Attention
  Hyunin Lee, Dongwook Kim, and Yong-Lae Park
  IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2022.
  [slides] [videos] [codes]

Conference

• A Black Swan Hypothesis: The Role of Human Irrationality in AI Safety
  Hyunin Lee, Chanwoo Park, David Abel, and Ming Jin
  International Conference on Learning Representation (ICLR), 2025.
  [slides]

• Pausing Policy Learning in Non-stationary Reinforcement Learning.
  Hyunin Lee, Ming Jin, Javad Lavaei, and Somayeh Sojoudi
  International Conference on Machine Learning (ICML), 2024, (Oral, top 1%)
  [Talk]

• Tempo Adaption in Non-stationary Reinforcement Learning.
  Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei, and Somayeh Sojoudi
  Neural Information Processing Systems (NeurIPS), 2023
  [slides] [codes]

• Initial State Interventions for Deconfounded Imitation Learning
  Samuel Pfrommer, Yatong Bai, Hyunin Lee, and Somayeh Sojoudi
  IEEE Conference on Decision and Control (CDC), 2023.