Zhu, Lingwei

9 publications

ICLR 2025 $q$-Exponential Family for Policy Optimization Lingwei Zhu, Haseeb Shah, Han Wang, Yukie Nagai, Martha White

ICLR 2025 Fat-to-Thin Policy Optimization: Offline Reinforcement Learning with Sparse Policies Lingwei Zhu, Han Wang, Yukie Nagai

TMLR 2024 Offline Reinforcement Learning via Tsallis Regularization Lingwei Zhu, Matthew Kyle Schlegel, Han Wang, Martha White

MLJ 2023 Cautious Policy Programming: Exploiting KL Regularization for Monotonic Policy Improvement in Reinforcement Learning Lingwei Zhu, Takamitsu Matsubara

NeurIPS 2023 General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence Lingwei Zhu, Zheng Chen, Matthew Schlegel, Martha White

ECML-PKDD 2022 Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization Zheng Chen, Lingwei Zhu, Ziwei Yang, Takashi Matsubara

IJCAI 2022 Multi-Tier Platform for Cognizing Massive Electroencephalogram Zheng Chen, Lingwei Zhu, Ziwei Yang, Renyuan Zhang

ACML 2021 Cautious Actor-Critic Lingwei Zhu, Toshinori Kitamura, Matsubara Takamitsu

ACML 2021 Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning Toshinori Kitamura, Lingwei Zhu, Takamitsu Matsubara