Fei Fang

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 18

Top Topics

Reinforcement Learning

Top Venues

Publications

Ruiyi Wang, Stephanie Milani, Jamie C. Chiu, Shaun M. Eack, Travis Labrum, Samuel M. Murphy, Nev Jones, Kate Hardy, Hong Shen, Fei Fang, Zhiyu Zoey Chen
PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals. CoRR (2024)
Stephanie Milani, Nicholay Topin, Manuela Veloso, Fei Fang
Explainable Reinforcement Learning: A Survey and Comparative Review. ACM Comput. Surv. 56 (7) (2024)
Weiran Shen, Minbiao Han, Weizhe Chen, Taoan Huang, Rohit Singh, Haifeng Xu, Fei Fang
An extensive study of security games with strategic informants. Artif. Intell. 334 (2024)
Zhicheng Zhang, Yancheng Liang, Yi Wu, Fei Fang
MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure. CoRR (2024)
Naveen Raman, Zheyuan Ryan Shi, Fei Fang
Global Rewards in Restless Multi-Armed Bandits. CoRR (2024)
Jingwu Tang, Gokul Swamy, Fei Fang, Zhiwei Steven Wu
Multi-Agent Imitation Learning: Value is Easy, Regret is Hard. CoRR (2024)
Sameer Jain, Sedrick Scott Keh, Shova Chettri, Karun Dewan, Pablo Izquierdo, Johanna Prussman, Pooja Shrestha, César Suárez, Zheyuan Ryan Shi, Lei Li, Fei Fang
Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages. AAAI (2024)
Steven Jecmen, Nihar B. Shah, Fei Fang, Leman Akoglu
On the Detection of Reviewer-Author Collusion Rings From Paper Bidding. CoRR (2024)
Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning. AAAI (2024)
Aravind Venugopal, Stephanie Milani, Fei Fang, Balaraman Ravindran
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning. AAMAS (2024)
Yixuan Even Xu, Chun Kai Ling, Fei Fang
Learning Coalition Structures with Games. AAAI (2024)
Zhicheng Zhang, Yancheng Liang, Yi Wu, Fei Fang
MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure. AAMAS (2024)
Zheyuan Ryan Shi, Jiayin Zhi, Siqi Zeng, Zhicheng Zhang, Ameesh Kapoor, Sean Hudson, Hong Shen, Fei Fang
Predicting and Presenting Task Difficulty for Crowdsourcing Food Rescue Platforms. WWW (2024)
Zhuorui Ye, Stephanie Milani, Geoffrey J. Gordon, Fei Fang
Concept-Based Interpretable Reinforcement Learning with Limited to No Human Labels. CoRR (2024)
Rex Chen, Ruiyi Wang, Norman Sadeh, Fei Fang
Missing Pieces: How Framing Uncertainty Impacts Longitudinal Trust in AI Decision Aids - A Gig Driver Case Study. CoRR (2024)
Sameer Jain, Sedrick Scott Keh, Shova Chettri, Karun Dewan, Pablo Izquierdo, Johanna Prussman, Pooja Shrestha, Cesar Suarez, Zheyuan Ryan Shi, Lei Li, Fei Fang
Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages. CoRR (2024)
Yixuan Xu, Steven Jecmen, Zimeng Song, Fei Fang
A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment. NeurIPS (2023)
Rex Chen, Kathleen M. Carley, Fei Fang, Norman M. Sadeh
Purpose in the Machine: Do Traffic Simulators Produce Distributionally Equivalent Outcomes for Reinforcement Learning Applications? WSC (2023)