Feng, Fan

11 publications

ICLR 2025 Causal Information Prioritization for Efficient Reinforcement Learning Hongye Cao, Fan Feng, Tianpei Yang, Jing Huo, Yang Gao

NeurIPS 2025 Learning Interactive World Model for Object-Centric Reinforcement Learning Fan Feng, Phillip Lippe, Sara Magliacane

ICLR 2025 Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning Caleb Chuck, Fan Feng, Carl Qi, Chang Shi, Siddhant Agarwal, Amy Zhang, Scott Niekum

NeurIPS 2025 Online Time Series Forecasting with Theoretical Guarantees Zijian Li, Changze Zhou, Minghao Fu, Sanjay Manjunath, Fan Feng, Guangyi Chen, Yingyao Hu, Ruichu Cai, Kun Zhang

ICLR 2025 Towards Empowerment Gain Through Causal Structure Learning in Model-Based Reinforcement Learning Hongye Cao, Fan Feng, Meng Fang, Shaokang Dong, Tianpei Yang, Jing Huo, Yang Gao

ICLR 2025 Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations Yupei Yang, Biwei Huang, Fan Feng, Xinyue Wang, Shikui Tu, Lei Xu

ICMLW 2024 Towards Empowerment Gain Through Causal Structure Learning in Model-Based RL Hongye Cao, Fan Feng, Meng Fang, Shaokang Dong, Jing Huo, Yang Gao

NeurIPS 2023 Learning Dynamic Attribute-Factored World Models for Efficient Multi-Object Reinforcement Learning Fan Feng, Sara Magliacane

ICLR 2022 AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang

NeurIPS 2022 Factored Adaptation for Non-Stationary Reinforcement Learning Fan Feng, Biwei Huang, Kun Zhang, Sara Magliacane

NeurIPSW 2022 Structural Causal Model for Molecular Dynamics Simulation Qi Liu, Yuanqi Du, Fan Feng, Qiwei Ye, Jie Fu