Zhao, Yingnan

1. Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization
   2021/10/17 by Sun, Ke, Wang, Yafei, Liu, Yi +5 · 2 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
2. Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-aware Regularized Exploration in Reinforcement Learning
   2021/10/07 by Sun, Ke, Zhao, Yingnan, Shi, Enze +4 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. Exploring the Training Robustness of Distributional Reinforcement Learning against Noisy State Observations
   2021/09/17 by Sun, Ke, Zhao, Yingnan, Jui, Shangling +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. Distributional Reinforcement Learning with Regularized Wasserstein Loss
   2022/02/01 by Sun, Ke, Zhao, Yingnan, Liu, Wulong +2 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. MoRE: Mixture of Residual Experts for Humanoid Lifelike Gaits Learning on Complex Terrains
   2025/06/10 by Xinmiao Wang, Wang, Dewei, Wang, Xinmiao +10 · 5 citations
   Computer Science · Engineering · #FOS: Computer and information sciences #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotic Locomotion and Control #Robotics (cs.RO)