Fei Fang

Fei Fang は CMU School of Computer Science の教員で、ゲーム理論と機械学習の研究者。(source, source)

調査

• 主要研究領域: game theory and machine learning for societal challenges (source)
• 個人ホームページ: 未確認（要調査）
• 所属: Carnegie Mellon University, School of Computer Science (source)

論文

2021

• Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization

2024

• MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure