Zhou, Hanhan

7 publications

AAAI 2025 Learning to Collaborate with Unknown Agents in the Absence of Reward Zuyuan Zhang, Hanhan Zhou, Mahdi Imani, Taeyoung Lee, Tian Lan

AAAI 2024 ConcaveQ: Non-Monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning Huiqun Li, Hanhan Zhou, Yifei Zou, Dongxiao Yu, Tian Lan

NeurIPS 2024 RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina Adam, Nathaniel D. Bastian, Tian Lan

NeurIPSW 2023 Double Policy Estimation for Importance Sampling in Sequence Modeling-Based Reinforcement Learning Hanhan Zhou, Tian Lan, Vaneet Aggarwal

NeurIPS 2023 Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction Hanhan Zhou, Tian Lan, Guru Prasadh Venkataramani, Wenbo Ding

NeurIPSW 2022 Federated Learning with Online Adaptive Heterogeneous Local Models Hanhan Zhou, Tian Lan, Guru Prasadh Venkataramani, Wenbo Ding

NeurIPS 2022 PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning Hanhan Zhou, Tian Lan, Vaneet Aggarwal