82 citations · 84 across the 3 of their papers we have counts for
4 papers
Rethinking Ratio-Based Trust Regions for Policy Optimization in Multi-Agent Reinforcement Learning
Chulabhaya Wijesundara, Andrea Baisero, Zhongheng Li +3
Centralized training with decentralized execution (CTDE) is a standard framework for cooperative multi-agent policy-gradient reinforcement learning, allowing agents to learn from j…
Fine-grained Activities of People Worldwide
Jeffrey Byrne, Greg Castanon, Zhongheng Li +1
Every day, humans perform many closely related activities that involve subtle discriminative motions, such as putting on a shirt vs. putting on a jacket, or shaking hands vs. givin…
Robust and Scalable Entity Alignment in Big Data
James Flamino, Christopher Abriola, Ben Zimmerman +2
Entity alignment has always had significant uses within a multitude of diverse scientific fields. In particular, the concept of matching entities across networks has grown in signi…
Feature Learning Viewpoint of AdaBoost and a New Algorithm
Fei Wang, Zhongheng Li, Fang He +3
The AdaBoost algorithm has the superiority of resisting overfitting. Understanding the mysteries of this phenomena is a very fascinating fundamental theoretical problem. Many studi…