I-Chen Wu

Hinge Policy Optimization: Reinterpreting PPO-Clip and Attaining Global Optimality

Ping-Chun Hsieh, Nai-Chieh Huang, Kuo-Hao Ho, 2021, 2110.13799.

Neural PPO-Clip Attains Global Optimality: A Hinge Loss Perspective

Ping-Chun Hsieh, Nai-Chieh Huang, Kuo-Hao Ho, 2021, 2110.13799.

Are AlphaZero-like Agents Robust to Adversarial Perturbations?

Cho-Jui Hsieh, Huan Zhang, Li-Cheng Lan, 2022, NeurIPS.

Reinforcement Learning for Picking Cluttered General Objects with Dense Object Descriptors

I-Chen Wu, Weihao Zeng, Hoang-Giang Cao, 2022, 2022 International Conference on Robotics and Automation (ICRA).

Stochastic Gradient Descent With Hyperbolic-Tangent Decay on Classification

Wei Li, I-Chen Wu, Bo Yang Hsueh, 2018, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

Stochastic Gradient Descent with Hyperbolic-Tangent Decay pdf

Wei Li, I-Chen Wu, Bo Yang Hsueh, 2018, ArXiv.

Curriculum Reinforcement Learning From Avoiding Collisions to Navigating Among Movable Obstacles in Diverse Environments

Hsueh-Cheng Wang, Yu-ting Ko, I-Chen Wu, 2023, IEEE Robotics and Automation Letters.

Hinge Policy Optimization: Rethinking Policy Improvement and Reinterpreting PPO pdf

Ping-Chun Hsieh, Kuo-Hao Ho, Hsuan-Yu Yao, 2021, ArXiv.

Gumbel MuZero for the Game of 2048

Chih-yu Kao, Ti-Rong Wu, I-Chen Wu, 2022, 2022 International Conference on Technologies and Applications of Artificial Intelligence (TAAI).

Image-based Regularization for Action Smoothness in Autonomous Miniature Racing Car with Deep Reinforcement Learning

Hsueh-Cheng Wang, I-Chen Wu, Hoang-Giang Cao, 2023, 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).