Special Topic: Mean-Field Game and Control of Large Population Systems: From Theory to Practice
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Mean field games for urban mobility: a review
Di, Xuan; Xu, Zhenhui; Shen, Tielong
Sci China Inf Sci, 2025, 68(11): 210201
Keywords: mean field game; traffic flow; vehicle routing; speed consensus; EV charging
Cite as: Di X, Xu Z H, Shen T L. Mean field games for urban mobility: a review. Sci China Inf Sci, 2025, 68: 210201, doi: 10.1007/s11432-025-4649-7

Special Topic: Mean-Field Game and Control of Large Population Systems: From Theory to Practice
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An overview of some extensions of mean field games beyond perfect homogeneity and anonymity
Lauriere, Mathieu
Sci China Inf Sci, 2025, 68(11): 210202
Keywords: mean field games; heterogeneous systems; non-exchangeable systems; graphon games; mean field control
Cite as: Lauriere M. An overview of some extensions of mean field games beyond perfect homogeneity and anonymity. Sci China Inf Sci, 2025, 68: 210202, doi: 10.1007/s11432-025-4658-5

Special Topic: Mean-Field Game and Control of Large Population Systems: From Theory to Practice
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Mean-field team in backward linear-quadratic control problems with model uncertainty
Feng, Xinwei; Huang, Jianhui; Jia, Yunxiao; Yu, Mingzhu
Sci China Inf Sci, 2025, 68(11): 210203
Keywords: mean-field team; model uncertainty; backward stochastic differential equation; forward backward stochastic differential equations; Riccati equation
Cite as: Feng X W, Huang J H, Jia Y X, et al. Mean-field team in backward linear-quadratic control problems with model uncertainty. Sci China Inf Sci, 2025, 68: 210203, doi: 10.1007/s11432-025-4598-0

Special Topic: Mean-Field Game and Control of Large Population Systems: From Theory to Practice
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Stackelberg games for continuous-time stochastic linear quadratic systems via Q-learning
Cao, Ying; Wang, Bing-Chang; Sun, Bo
Sci China Inf Sci, 2025, 68(11): 210204
Keywords: reinforcement learning; Stackelberg games; Q-learning; stochastic linear quadratic systems; actor-critic structure
Cite as: Cao Y, Wang B-C, Sun B. Stackelberg games for continuous-time stochastic linear quadratic systems via Q-learning. Sci China Inf Sci, 2025, 68: 210204, doi: 10.1007/s11432-025-4623-0

Special Topic: Mean-Field Game and Control of Large Population Systems: From Theory to Practice
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Stackelberg mean field game-based decentralized collective control for large-scale population of HVACs under grid balancing
Zhang, Yuexi; Yang, Shaohua; Shen, Tielong
Sci China Inf Sci, 2025, 68(11): 210205
Keywords: Stackelberg mean field game; Stackelberg equilibrium; power grid balance; HVAC loads; collective control
Cite as: Zhang Y X, Yang S H, Shen T L. Stackelberg mean field game-based decentralized collective control for large-scale population of HVACs under grid balancing. Sci China Inf Sci, 2025, 68: 210205, doi: 10.1007/s11432-025-4657-5

Special Topic: Mean-Field Game and Control of Large Population Systems: From Theory to Practice
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Policy iteration method for discounted infinite horizon mean field games: the semi-Lagrangian approach
Tang, Qing; Camilli, Fabio; Zhou, Yong-Shen
Sci China Inf Sci, 2025, 68(11): 210206
Keywords: mean field games; policy iteration; numerical approximation; semi-Lagrangian method; dynamic programming
Cite as: Tang Q, Camilli F, Zhou Y-S. Policy iteration method for discounted infinite horizon mean field games: the semi-Lagrangian approach. Sci China Inf Sci, 2025, 68: 210206, doi: 10.1007/s11432-025-4646-9

Special Topic: Mean-Field Game and Control of Large Population Systems: From Theory to Practice
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Minimum number of prejudiced agents needed for consensus of weighted median opinion dynamics
Zhang, Ruichang; Liu, Zhixin; Chen, Ge; Mei, Wenjun
Sci China Inf Sci, 2025, 68(11): 210207
Keywords: consensus; opinion dynamics; weighted median; prejudice
Cite as: Zhang R C, Liu Z X, Chen G, et al. Minimum number of prejudiced agents needed for consensus of weighted median opinion dynamics. Sci China Inf Sci, 2025, 68: 210207, doi: 10.1007/s11432-025-4656-8

Special Topic: Mean-Field Game and Control of Large Population Systems: From Theory to Practice
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Sufficient stochastic maximum principle for mean-field control problems with regime switching in an infinite horizon
Li, Na; Lv, Siyu; Wu, Zhen; Xiong, Jie
Sci China Inf Sci, 2025, 68(11): 210208
Keywords: sufficient maximum principle; infinite horizon problem; Markov chain; mean-field interaction; algebraic Riccati equation
Cite as: Li N, Lv S Y, Wu Z, et al. Sufficient stochastic maximum principle for mean-field control problems with regime switching in an infinite horizon. Sci China Inf Sci, 2025, 68: 210208, doi: 10.1007/s11432-025-4659-x

Special Topic: Mean-Field Game and Control of Large Population Systems: From Theory to Practice
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Model-free group formation control of heterogeneous nonlinear multi-agent systems
Li, Chuanjian; Wang, Xiaoping; Wei, Chen; Ren, Fangmin; Zong, Xiaofeng; Zeng, Zhigang; Huang, Tingwen
Sci China Inf Sci, 2025, 68(11): 210209
Keywords: multi-agent systems; group formation control; model-free; heterogeneous nonlinear dynamics
Cite as: Li C J, Wang X P, Wei C, et al. Model-free group formation control of heterogeneous nonlinear multi-agent systems. Sci China Inf Sci, 2025, 68: 210209, doi: 10.1007/s11432-025-4587-1

Special Topic: Mean-Field Game and Control of Large Population Systems: From Theory to Practice
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Non-zero-sum linear quadratic stochastic differential games with jump diffusion and input delay: an asymmetric information framework
Wang, Yan; Wang, Lei
Sci China Inf Sci, 2025, 68(11): 210210
Keywords: linear quadratic stochastic differential game; asymmetric information; open-loop Nash equilibrium; forward-backward stochastic delayed differential equations; jump diffusion
Cite as: Wang Y, Wang L. Non-zero-sum linear quadratic stochastic differential games with jump diffusion and input delay: an asymmetric information framework. Sci China Inf Sci, 2025, 68: 210210, doi: 10.1007/s11432-025-4519-7

Special Topic: Mean-Field Game and Control of Large Population Systems: From Theory to Practice
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Zero-sum game control of unmanned aerial vehicle confrontation via reinforcement learning
Li, Zijun; Wang, Yongshuai; Wen, Guoxing; Xia, Chengyi
Sci China Inf Sci, 2025, 68(11): 210211
Keywords: zero-sum game; reinforcement learning; unmanned aerial vehicle; sliding mode control; Nash equilibrium
Cite as: Li Z J, Wang Y S, Wen G X, et al. Zero-sum game control of unmanned aerial vehicle confrontation via reinforcement learning. Sci China Inf Sci, 2025, 68: 210211, doi: 10.1007/s11432-025-4614-9

Special Topic: Mean-Field Game and Control of Large Population Systems: From Theory to Practice
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Data-driven Chebyshev iteration for linear quadratic Gaussian games
Liu, Yiheng; Gao, Weinan; Yang, Yongliang
Sci China Inf Sci, 2025, 68(11): 210212
Keywords: mean field game; reinforcement learning; linear quadratic control; Chebyshev iteration; adaptive optimal control
Cite as: Liu Y H, Gao W N, Yang Y L. Data-driven Chebyshev iteration for linear quadratic Gaussian games. Sci China Inf Sci, 2025, 68: 210212, doi: 10.1007/s11432-025-4520-4

Special Topic: Mean-Field Game and Control of Large Population Systems: From Theory to Practice
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Optimal tax-subsidy incentive for population games based on mean field approximation
Chai, Yingying; Wu, Zhenyu; Wu, Yuhu; Le, Shuting
Sci China Inf Sci, 2025, 68(11): 210213
Keywords: evolutionary dynamics; mean field approximation; Hamilton-Jacobi-Bellman equation; population games; cooperation; Monte-Carlo simulation; tax-subsidy incentive
Cite as: Chai Y Y, Wu Z Y, Wu Y H, et al. Optimal tax-subsidy incentive for population games based on mean field approximation. Sci China Inf Sci, 2025, 68: 210213, doi: 10.1007/s11432-025-4653-4

Special Topic: Mean-Field Game and Control of Large Population Systems: From Theory to Practice
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Target defense differential game for autonomous surface vehicles
Xing, Ning; Zhang, Hai-Tao; Zhu, Lijun
Sci China Inf Sci, 2025, 68(11): 210214
Keywords: target defense differential game; equilibrium state-feedback control; autonomous surface vehicles; nonlinear system; model transformation method
Cite as: Xing N, Zhang H-T, Zhu L J. Target defense differential game for autonomous surface vehicles. Sci China Inf Sci, 2025, 68: 210214, doi: 10.1007/s11432-025-4549-1