activity
20202022
most citedThe Dynamics of Q-learning in Population Games: a Physics-Inspired Continuity Equation Model

5 citations · 10 across the 5 of their papers we have counts for

collaborators

6 papers

eess.SP2022★ 2 cited

A Hybrid Labeled Multi-Bernoulli Filter With Amplitude For Tracking Fluctuating Targets

Weizhen Ma, Zhongliang Jing, Peng Dong +1

The amplitude information of target returns has been incorporated into many tracking algorithms for performance improvements. One of the limitations of employing amplitude feature…

cs.LG2022

Beyond the Gates of Euclidean Space: Temporal-Discrimination-Fusions and Attention-based Graph Neural Network for Human Activity Recognition

Nafees Ahmad, Savio Ho-Chit Chow, Ho-fung Leung

Human activity recognition (HAR) through wearable devices has received much interest due to its numerous applications in fitness tracking, wellness screening, and supported living.…

cs.MA2022★ 5 cited

The Dynamics of Q-learning in Population Games: a Physics-Inspired Continuity Equation Model

Shuyue Hu, Chin-Wing Leung, Ho-fung Leung +1

Although learning has found wide application in multi-agent systems, its effects on the temporal evolution of a system are far from understood. This paper focuses on the dynamics o…

eess.SP2021

A Gridless Fourth-order Cumulant-Based DOA Estimation Method under Unknown Colored Noise

Jiawen Yuan

To reduce the adverse impacts of the unknown colored noise on the performance degradation of the direction-of-arrival (DOA) estimation, we propose a new gridless DOA estimation met…

cs.MA2020

A Q-values Sharing Framework for Multiagent Reinforcement Learning under Budget Constraint

Changxi Zhu, Ho-fung Leung, Shuyue Hu +1

In teacher-student framework, a more experienced agent (teacher) helps accelerate the learning of another agent (student) by suggesting actions to take in certain states. In cooper…

cs.MA2020★ 3 cited

The Evolutionary Dynamics of Independent Learning Agents in Population Games

Shuyue Hu, Chin-Wing Leung, Ho-fung Leung +1

Understanding the evolutionary dynamics of reinforcement learning under multi-agent settings has long remained an open problem. While previous works primarily focus on 2-player gam…