19 citations · 53 across the 7 of their papers we have counts for
7 papers
Facilitating Cooperation in Human-Agent Hybrid Populations through Autonomous Agents
Hao Guo, Chen Shen, Shuyue Hu +4
Cooperation is a vital social behavior that plays a crucial role in human prosperity, enabling conflict resolution and averting disastrous outcomes. With the increasing presence of…
How Committed Individuals Shape Social Dynamics: A Survey on Coordination Games and Social Dilemma Games
Chen Shen, Hao Guo, Shuyue Hu +3
Committed individuals, who features steadfast dedication to advocating strong beliefs, values, and preferences, have garnered much attention across statistical physics, social scie…
Heterogeneous Beliefs and Multi-Population Learning in Network Games
Shuyue Hu, Harold Soh, Georgios Piliouras
The effect of population heterogeneity in multi-agent learning is practically relevant but remains far from being well-understood. Motivated by this, we introduce a model of multi-…
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…