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
16.19/100
超过 49%
全站排名 #32,806
发表论文6 篇
平均评分
年均产出3.0 篇/年
Feng Chen
研究方向
Reinforcement Learning · Multi-Agent Reinforcement Learning · Large Language Models
23
EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving
NeurIPS 2025Poster
7
Learning to Reuse Policies in State Evolvable Environments
ICML 2025Poster
7
Haland: Human-AI Coordination via Policy Generation from Language-guided Diffusion
ICLR 2025Rejected
5
Diffusion-Guided Safe Policy Optimization From Cost-Label-Free Offline Dataset
ICLR 2025Withdrawn
一作