Zhao, Yingnan

4 publications

NeurIPS 2025 Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-Aware Regularized Exploration in Reinforcement Learning Ke Sun, Yingnan Zhao, Enze Shi, Yafei Wang, Xiaodong Yan, Bei Jiang, Linglong Kong

NeurIPS 2024 Distributional Reinforcement Learning with Regularized Wasserstein Loss Ke Sun, Yingnan Zhao, Wulong Liu, Bei Jiang, Linglong Kong

ECML-PKDD 2023 Exploring the Training Robustness of Distributional Reinforcement Learning Against Noisy State Observations Ke Sun, Yingnan Zhao, Shangling Jui, Linglong Kong

NeurIPS 2021 Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong