Publications

2025

1. 

   Much Ado About Noising: Dispelling the Myths of Generative Robotic Control

   Chaoyi Pan, Giri Anantharaman, Nai-Chieh Huang, Claire Jin, Daniel Pfrommer, and 6 more authors

   arXiv preprint arXiv:2512.01809, 2025

   arXiv Bib PDF Website

   @article{pan2025much,
     title = {Much Ado About Noising: Dispelling the Myths of Generative Robotic Control},
     author = {Pan, Chaoyi and Anantharaman, Giri and Huang, Nai-Chieh and Jin, Claire and Pfrommer, Daniel and Yuan, Chenyang and Permenter, Frank and Qu, Guannan and Boffi, Nicholas and Shi, Guanya and Simchowitz, Max},
     journal = {arXiv preprint arXiv:2512.01809},
     year = {2025},
   }

2024

1. 

   Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning

   Yen-Ju Chen^*, Nai-Chieh Huang^*, Ching-pei Lee, and Ping-Chun Hsieh

   In International Conference on Machine Learning (ICML), 2024

   arXiv Bib PDF

   @inproceedings{chen2024accelerated,
     title = {Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning},
     author = {Chen, Yen-Ju and Huang, Nai-Chieh and Lee, Ching-pei and Hsieh, Ping-Chun},
     booktitle = {International Conference on Machine Learning (ICML)},
     year = {2024},
   }

2. 

   PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping

   Nai-Chieh Huang, Ping-Chun Hsieh, Kuo-Hao Ho, and I-Chen Wu

   In Proceedings of the AAAI Conference on Artificial Intelligence, 2024

   arXiv Bib PDF

   @inproceedings{huang2024ppo,
     title = {PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping},
     author = {Huang, Nai-Chieh and Hsieh, Ping-Chun and Ho, Kuo-Hao and Wu, I-Chen},
     booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
     year = {2024},
   }