Cheng-Kuang Lee
Nvidia (United States)(US)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Metaheuristic Optimization Algorithms Research, Scheduling and Optimization Algorithms, Anomaly Detection Techniques and Applications, Stochastic Gradient Optimization Techniques
Most-Cited Works
- → DFAC Framework: Factorizing the Value Function via Quantile Mixture for\n Multi-Agent Distributional Q-Learning(2021)1 cited
- → A Distributional Perspective on Value Function Factorization Methods for Multi-Agent Reinforcement Learning(2021)
- → Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow(2024)
- → GPU-based Ising Machine for Solving Combinatorial Optimization Problems with Enhanced Parallel Tempering Techniques(2024)