5 citations · 11 across the 3 of their papers we have counts for
4 papers
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…
Individual-Level Inverse Reinforcement Learning for Mean Field Games
Yang Chen, Libo Zhang, Jiamou Liu +1
The recent mean field game (MFG) formalism has enabled the application of inverse reinforcement learning (IRL) methods in large-scale multi-agent systems, with the goal of inferrin…
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…
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…