Publications

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},
     volume = {38},
     number = {11},
     pages = {12600--12607},
     year = {2024},
   }