Huang, Nai-Chieh

4 publications

ICLR 2026 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 Matthew Boffi, Guanya Shi, Max Simchowitz

ICML 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

AAAI 2024 PPO-CLIP Attains Global Optimality: Towards Deeper Understandings of Clipping Nai-Chieh Huang, Ping-Chun Hsieh, Kuo-Hao Ho, I-Chen Wu

ICMLW 2023 Accelerated Policy Gradient: On the Nesterov Momentum for Reinforcement Learning Yen-Ju Chen, Nai-Chieh Huang, Ping-Chun Hsieh