影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
38.47/100
前 15.5%
全站排名 #10,001
发表论文7 篇
平均评分
年均产出2.3 篇/年
Kenshi Abe
研究方向
Multi-Agent Learning · Reinforcement Learning · Hyperparameter Optimization
28
Last Iterate Convergence in Monotone Mean Field Games
NeurIPS 2025Poster
二作11
Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games
ICLR 2025Poster
一作24
Learning from Delayed Feedback in Games via Extra Prediction
NeurIPS 2025Poster
二作28
Last Iterate Convergence in Monotone Mean Field Games
ICLR 2025Rejected
二作