Fault-tolerant federated reinforcement learning with theoretical guarantee X Fan, Y Ma, Z Dai, W Jing, C Tan, BKH Low NeurIPS 2021, 2021 | 72 | 2021 |
Federated neural bandit Z Dai, Y Shu, A Verma, FX Fan, BKH Low, P Jaillet ICLR 2023, 2022 | 23 | 2022 |
FedHQL: Federated Heterogeneous Q-Learning FX Fan, Y Ma, Z Dai, C Tan, BKH Low, R Wattenhofer AAMAS 2023, 2023 | 8 | 2023 |
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning X Lu, FX Fan, T Wang ICML 2023 Workshop Frontiers4LCD, 2023 | 2 | 2023 |
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 | 1 | 2024 |
Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence P Jordan, F Grötschla, FX Fan, R Wattenhofer AAMAS 2024, 2024 | 1 | 2024 |
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 | 1 | 2024 |
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 | | 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 |