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
34.12/100
前 19.9%
全站排名 #12,792
发表论文5 篇
平均评分
年均产出1.7 篇/年
Anas Barakat
研究方向
Reinforcement Learning · Learning in games · Stochastic optimization
21
On the Global Optimality of Policy Gradient Methods in General Utility Reinforcement Learning
NeurIPS 2025Poster
一作26
Beyond Expected Returns: A Policy Gradient Algorithm for Cumulative Prospect Theoretic Reinforcement Learning
ICLR 2025Rejected
二作26
On the Sample Complexity of a Policy Gradient Algorithm with Occupancy Approximation for General Utility Reinforcement Learning
ICLR 2025Rejected
一作