Wei-Fang Sun

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Maximum Entropy

Reinforcement Learning

Factorization Methods

Generative Model

Top Venues

Publications

Chia-Cheng Chiang, Li-Cheng Lan, Wei-Fang Sun, Chien Feng, Cho-Jui Hsieh, Chun-Yi Lee
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning. CoRR (2024)
Chen-Hao Chao, Chien Feng, Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow. CoRR (2024)
Mu-Yi Shen, Chia-Chi Hsu, Hao-Yu Hou, Yu-Chen Huang, Wei-Fang Sun, Chia-Che Chang, Yu-Lun Liu, Chun-Yi Lee
DriveEnv-NeRF: Exploration of A NeRF-Based Autonomous Driving Environment for Real-World Performance Validation. CoRR (2024)
Bo-Wun Cheng, En-Ming Huang, Chen-Hao Chao, Wei-Fang Sun, Tsung-Tai Yeh, Chun-Yi Lee
COLAB: Collaborative and Efficient Processing of Replicated Cache Requests in GPU. ASP-DAC (2023)
Chen-Hao Chao, Wei-Fang Sun, Yen-Chang Hsu, Zsolt Kira, Chun-Yi Lee
Training Energy-Based Normalizing Flow with Score-Matching Objectives. CoRR (2023)
Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Chun-Yi Lee
On Investigating the Conservative Property of Score-Based Generative Models. ICML (2023)
Chen-Hao Chao, Wei-Fang Sun, Yen-Chang Hsu, Zsolt Kira, Chun-Yi Lee
Training Energy-Based Normalizing Flow with Score-Matching Objectives. NeurIPS (2023)
Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning. CoRR (2023)
Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning. J. Mach. Learn. Res. 24 (2023)
Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Chun-Yi Lee
Quasi-Conservative Score-based Generative Models. CoRR (2022)
Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Yi-Chen Lo, Chia-Che Chang, Yu-Lun Liu, Yu-Lin Chang, Chia-Ping Chen, Chun-Yi Lee
Denoising Likelihood Score Matching for Conditional Score-based Data Generation. ICLR (2022)
Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Yi-Chen Lo, Chia-Che Chang, Yu-Lun Liu, Yu-Lin Chang, Chia-Ping Chen, Chun-Yi Lee
Denoising Likelihood Score Matching for Conditional Score-based Data Generation. CoRR (2022)
Wei-Fang Sun, Cheng-Kuang Lee, Chun-Yi Lee
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning. ICML (2021)
Wei-Fang Sun, Cheng-Kuang Lee, Chun-Yi Lee
A Distributional Perspective on Value Function Factorization Methods for Multi-Agent Reinforcement Learning. AAMAS (2021)
Wei-Fang Sun, Cheng-Kuang Lee, Chun-Yi Lee
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning. CoRR (2021)
Wei-Fang Sun, Hung-Hsin Chen, ShaoFu Lin, YuanChing Lin, Jing-Wei Wu, En-Te Lin, Jerry Chou
Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From National Tsing Hua University. IEEE Trans. Parallel Distributed Syst. 32 (11) (2021)
Wei-Fang Sun, Shih-Hsien Chan, Zhe-Ting Liu, Yu-Hung Yeh, Pai H. Chou
Quatros: a preemptive multithreaded embedded OS for education. SIGBED Rev. 17 (1) (2020)