Lee, Cheng-Kuang

4 publications

ACML 2025 Continual Pre-Training Is (not) What You Need in Domain Adaptation Pin-Er Chen, Da Chen Lian, Shu-Kai Hsieh, Sieh-Chuen Huang, Hsuan-Lei Shao, Jun Wei Chiu, Yang-Hsien Lin, Zih-Ching Chen, Cheng-Kuang Lee, Eddie Tzungchi Huang, Simon See

NeurIPS 2024 Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow Chen-Hao Chao, Chien Feng, Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee

JMLR 2023 A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee

ICML 2021 DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning Wei-Fang Sun, Cheng-Kuang Lee, Chun-Yi Lee