He, Sihong

9 publications

AAAI 2025 CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction Huiqun Huang, Sihong He, Fei Miao

ICML 2025 Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning Chi Zhang, Ziying Jia, George K. Atia, Sihong He, Yue Wang

ICMLW 2024 Are Large Language Models Chameleons? Mingmeng Geng, Sihong He, Roberto Trotta

ICML 2024 Constrained Reinforcement Learning Under Model Mismatch Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou

ICML 2024 Momentum for the Win: Collaborative Federated Reinforcement Learning Across Heterogeneous Environments Han Wang, Sihong He, Zhili Zhang, Fei Miao, James Anderson

NeurIPS 2024 Policy Optimization for Robust Average Reward MDPs Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou

TMLR 2024 What Is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Shaofeng Zou, Fei Miao

TMLR 2023 Robust Multi-Agent Reinforcement Learning with State Uncertainty Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao

ICMLW 2023 What Is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Fei Miao