基本信息
浏览量:4
职业迁徙
个人简介
My primary research focus encompasses the resolution of intricate multi-agent collaboration dilemmas within diverse real-world decision-making tasks using multi-agent reinforcement learning (MARL) algorithms. My published works chiefly comprise two facets: methodologies and practical applications:
Concerning methodologies, I strive to devise MARL algorithms exuding superior robustness, scalability, and transferability. Additionally, I endeavor to incorporate generative models (GFlowNet, diffusion models, etc.) within MARL, aiming to augment the expressive capacity of neural network policies and bolster algorithmic competence in tackling high-dimensional problems.
In the realm of applications, I am dedicated to remodeling a variety of real-world issues from the perspective of stochastic games, encompassing image segmentation, multi-agent path-finding, and precision agriculture, utilizing MARL algorithms for resolutions. Concurrently, my interests also lie in the fusion of MARL with computational social science, formulating and solving quintessential social dilemmas in social sciences through a stochastic game lens.
Concerning methodologies, I strive to devise MARL algorithms exuding superior robustness, scalability, and transferability. Additionally, I endeavor to incorporate generative models (GFlowNet, diffusion models, etc.) within MARL, aiming to augment the expressive capacity of neural network policies and bolster algorithmic competence in tackling high-dimensional problems.
In the realm of applications, I am dedicated to remodeling a variety of real-world issues from the perspective of stochastic games, encompassing image segmentation, multi-agent path-finding, and precision agriculture, utilizing MARL algorithms for resolutions. Concurrently, my interests also lie in the fusion of MARL with computational social science, formulating and solving quintessential social dilemmas in social sciences through a stochastic game lens.
研究兴趣
论文共 29 篇作者统计合作学者相似作者
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CoRR (2024)
引用0浏览0EI引用
0
0
NeurIPS (2023)
引用1浏览0EI引用
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arxiv(2023)
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arxiv(2023)
CoRR (2023)
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CoRR (2023): 3550-3557
AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems (2023): 2784-2786
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0
CoRR (2023)
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ICML 2023pp.20035-20064, (2023)
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8
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