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
3.23/100
超过 9.7%
全站排名 #58,122
发表论文2 篇
平均评分
年均产出2.0 篇/年
FNU Hairi
研究方向
stochastic networks · multi-agent reinforcement learning
15
Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning
ICML 2025Poster
三作33
Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Weighted-Chebyshev Multi-Objective Actor-Critic Approach
ICLR 2025Rejected
一作