Nai-Chieh Huang

According to our database, Nai-Chieh Huang authored at least 6 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Momentum Streams for Optimizer-Inspired Transformers.

Jingchu Gai, Nai-Chieh Huang, Jiayun Wu

CoRR, May, 2026

OGPO: Sample Efficient Full-Finetuning of Generative Control Policies.

Sarvesh Patil, Mitsuhiko Nakamoto, Manan Agarwal, Shashwat Saxena, Jesse Zhang, Giri Anantharaman, Cleah Winston, Chaoyi Pan, Douglas Chen, Nai-Chieh Huang, Zeynep Temel, Oliver Kroemer, Sergey Levine, Abhishek Gupta, Hongkai Dai, Paarth Shah, Max Simchowitz

CoRR, May, 2026

2025

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

Chaoyi Pan, Giri Anantharaman, Nai-Chieh Huang, Claire Jin, Daniel Pfrommer, Chenyang Yuan, Frank Permenter, Guannan Qu, Nicholas Boffi, Guanya Shi, Max Simchowitz

CoRR, December, 2025

2024

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

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Accelerated Policy Gradient: On the Nesterov Momentum for Reinforcement Learning.

Yen-Ju Chen, Nai-Chieh Huang, Ping-Chun Hsieh

CoRR, 2023