Wei-Fang Sun
Nvidia (United States)(US)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Evolutionary Algorithms and Applications, Parallel Computing and Optimization Techniques, Interconnection Networks and Systems, Time Series Analysis and Forecasting
Most-Cited Works
- → DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning(2021)9 cited
- → Language-Guided Pattern Formation for Swarm Robotics with Multi-Agent Reinforcement Learning(2024)3 cited
- → COLAB(2023)3 cited
- → PCIe Bandwidth-Aware Scheduling for Multi-Instance GPUs(2025)1 cited
- → Critique of “Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility” by SCC Team From National Tsing Hua University(2021)1 cited
- → Quatros(2020)
- → A Distributional Perspective on Value Function Factorization Methods for Multi-Agent Reinforcement Learning(2021)
- → EDELINE: Enhancing Memory in Diffusion-based World Models via Linear-Time Sequence Modeling(2025)
- → Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow(2024)