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Flint Xiaofeng Fan
Flint Xiaofeng Fan
Other namesXiaofeng Fan
A*STAR International Fellow, ETH Zurich, NUS
Verified email at u.nus.edu - Homepage
Title
Cited by
Cited by
Year
Fault-tolerant federated reinforcement learning with theoretical guarantee
X Fan, Y Ma, Z Dai, W Jing, C Tan, BKH Low
NeurIPS 2021, 2021
782021
Federated neural bandit
Z Dai, Y Shu, A Verma, FX Fan, BKH Low, P Jaillet
ICLR 2023, 2022
242022
FedHQL: Federated Heterogeneous Q-Learning
FX Fan, Y Ma, Z Dai, C Tan, BKH Low, R Wattenhofer
AAMAS 2023, 2023
92023
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning
X Lu, FX Fan, T Wang
ICML 2023 Workshop Frontiers4LCD, 2023
32023
An LLM-based Recommender System Environment
N Corecco, G Piatti, LA Lanzendörfer, FX Fan, R Wattenhofer
KDD 2024 workshop on Generative AI for Recommender Systems and Personalization, 2024
22024
Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence
P Jordan, F Grötschla, FX Fan, R Wattenhofer
AAMAS 2024, 2024
22024
CAESAR: Enhancing Federated RL in Heterogeneous MDPs through Convergence-Aware Sampling with Screening
HY Mak, FX Fan, LA Lanzendörfer, C Tan, WT Ooi, R Wattenhofer
AAMAS 2024 workshop on Adaptive and Learning Agents (ALA 2024), 2024
12024
Federated sequential decision making: Bayesian optimization, reinforcement learning, and beyond
Z Dai, FX Fan, C Tan, TN Hoang, BKH Low, P Jaillet
Federated Learning, 257-279, 2024
12024
Quality Diversity Imitation Learning
Z Wan, X Yu, DM Bossens, Y Lyu, Q Guo, FX Fan, I Tsang
arXiv preprint arXiv:2410.06151, 2024
2024
SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems
N Corecco, G Piatti, LA Lanzendörfer, FX Fan, R Wattenhofer
ECAI 2024, 2023
2023
Reinforcement Learning of TSP Heuristics with Message Passing Neural Networks
L Holbein, Y Schmid
ETH (MSc) student thesis, 2023
2023
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Articles 1–11