41 citations · 201 across the 31 of their papers we have counts for
33 papers
Evolution of fairness in multi-objective reinforcement learning framework
Jingyi Zhang, Xin Ou, Guozhong Zheng +3
Fairness, as a fundamental social norm, continues to pose a longstanding puzzle regarding its emergence. Traditional game-theoretic models largely rely on the assumption of \emph{H…
Evolution of cooperation with Q-learning: how much information do we need?
Yile Ku, Xin Ou, Jiqiang Zhang +3
Cooperation is ubiquitous in both natural and human societies, yet its evolutionary basis remains a major challenge. A long-standing puzzle is whether having more information leads…
Emergence of cooperation: A reputation-modulated reinforcement learning
Chenyang Zhao, Jiqiang Zhang, Li Chen +1
Reputation is widely recognized as a key mechanism for sustaining cooperation. However, most existing game-theoretic models treat reputation primarily as an external factor that mo…
A brief review of evolutionary game dynamics in the reinforcement learning paradigm
Guozhong Zheng, Xin Ou, Shengfeng Deng +2
Cooperation, fairness, trust, and resource coordination are cornerstones of modern civilization, yet their emergence remains inadequately explained by the persistent discrepancies…
The effect of role-based resource allocation on epidemic dynamics
Hao-Xiang Jiang, Chao-Ran Cai, Ji-Qiang Zhang +1
We propose a coupled dynamical model of resource allocation and epidemic spread, inspired by the hierarchical structure of real-world therapeutic resource allocation. In this frame…
Dual Reinforcement Learning Synergy in Resource Allocation: Emergence of Self-Organized Momentum Strategy
Zhen-Na Zhang, Guo-Zhong Zhen, Li Chen +4
In natural ecosystems and human societies, self-organized resource allocation and policy synergy are ubiquitous and significant. This work focuses on the synergy between Dual Reinf…
Decoding species coexistence: A reinforcement learning perspective
Kaiwen Jiang, Chenyang Zhao, Shengfeng Deng +3
A central goal in ecology is to understand how biodiversity is maintained. Previous theoretical works have employed the rock-paper-scissors (RPS) game as a toy model, demonstrating…
Evolution of cooperation in a bimodal mixture of conditional cooperators
Chenyang Zhao, Xinshi Feng, Guozhong Zheng +3
Extensive behavioral experiments reveal that conditional cooperation is a prevalent phenomenon. Previous game-theoretical studies have predominantly relied on hard-manner models, w…
Decoding fairness: a reinforcement learning perspective
Guozhong Zheng, Jiqiang Zhang, Xin Ou +2
Behavioral experiments on the ultimatum game (UG) reveal that we humans prefer fair acts, which contradicts the prediction made in orthodox Economics. Existing explanations, howeve…
Cooperation in Public Goods Games: Leveraging Other-Regarding Reinforcement Learning on Hypergraphs
Bo-Ying Li, Zhen-Na Zhang, Guo-Zhong Zheng +3
Cooperation as a self-organized collective behavior plays a significant role in the evolution of ecosystems and human society. Reinforcement learning (RL) offers a new perspective,…
Mitigating Exposure Bias in Score-Based Generation of Molecular Conformations
Sijia Wang, Chen Wang, Zhenhao Zhao +2
Molecular conformation generation poses a significant challenge in the field of computational chemistry. Recently, Diffusion Probabilistic Models (DPMs) and Score-Based Generative…
Multiplex Graph Contrastive Learning with Soft Negatives
Zhenhao Zhao, Minhong Zhu, Chen Wang +4
Graph Contrastive Learning (GCL) seeks to learn nodal or graph representations that contain maximal consistent information from graph-structured data. While node-level contrasting…
Evolution of cooperation in the public goods game with Q-learning
Guozhong Zheng, Jiqiang Zhang, Shengfeng Deng +2
Recent paradigm shifts from imitation learning to reinforcement learning (RL) is shown to be productive in understanding human behaviors. In the RL paradigm, individuals search for…
Evolution of cooperation with Q-learning: the impact of information perception
Guozhong Zheng, Zhenwei Ding, Jiqiang Zhang +3
The inherent complexity of human beings manifests in a remarkable diversity of responses to intricate environments, enabling us to approach problems from varied perspectives. Howev…
Catalytic evolution of cooperation in a population with behavioural bimodality
Anhui Sheng, Jing Zhang, Guozhong Zheng +3
The remarkable adaptability of humans in response to complex environments is often demonstrated by the context-dependent adoption of different behavioral modes. However, the existi…
Emergence of cooperation under punishment: A reinforcement learning perspective
Chenyang Zhao, Guozhong Zheng, Chun Zhang +2
Punishment is a common tactic to sustain cooperation and has been extensively studied for a long time. While most of previous game-theoretic work adopt the imitation learning where…
The universality of physical images at relative timescales on multiplex networks
Xin Chang, Chao-Ran Cai, Ji-Qiang Zhang +1
The duration of the accumulation rate (physical image) is a key factor in analysis of counterintuitive phenomena involving relative timescales on multiplex networks. Typically, the…
Emergence of anti-coordinated patterns in snowdrift game by reinforcement learning
Zhen-Wei Ding, Ji-Qiang Zhang, Guo-Zhong Zheng +4
Patterns by self-organization in nature have garnered significant interest in a range of disciplines due to their intriguing structures. In the context of the snowdrift game (SDG),…
Optimal coordination of resources: A solution from reinforcement learning
Guozhong Zheng, Weiran Cai, Guanxiao Qi +2
Efficient allocation is important in nature and human society, where individuals frequently compete for limited resources. The Minority Game (MG) is perhaps the simplest toy model…
Decoding trust: A reinforcement learning perspective
Guozhong Zheng, Jiqiang Zhang, Jing Zhang +2
Behavioral experiments on the trust game have shown that trust and trustworthiness are universal among human beings, contradicting the prediction by assuming \emph{Homo economicus}…
Emergence of Cooperation in Two-agent Repeated Games with Reinforcement Learning
Zhen-Wei Ding, Guo-Zhong Zheng, Chao-Ran Cai +4
Cooperation is the foundation of ecosystems and the human society, and the reinforcement learning provides crucial insight into the mechanism for its emergence. However, most previ…
A Generative Hypergraph Model for Double Heterogeneity
Zhao Li, Jing Zhang, Jiqiang Zhang +3
While network science has become an indispensable tool for studying complex systems, the conventional use of pairwise links often shows limitations in describing high-order interac…
Oscillatory cooperation prevalence emerges from misperception
Jing Zhang, Zhao Li, Jiqiang Zhang +3
Oscillatory behaviors are ubiquitous in nature and the human society. However, most previous works fail to reproduce them in the two-strategy game-theoretical models. Here we show…
Emergence of cooperation in a population with bimodal response behaviors
Lin Ma, Jiqiang Zhang, Guozhong Zheng +2
We human beings show remarkable adaptability in response to complex surroundings, we adopt different behavioral modes at different occasions, such response multimodality is critica…