Ross, Keith W.

7 publications

TMLR 2025 Cross Entropy Versus Label Smoothing: A Neural Collapse Perspective Li Guo, George Andriopoulos, Zifan Zhao, Zixuan Dong, Shuyang Ling, Keith W. Ross

ICLR 2024 Pre-Training with Synthetic Data Helps Offline Reinforcement Learning Zecheng Wang, Che Wang, Zixuan Dong, Keith W. Ross

NeurIPSW 2022 Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance Yanqiu Wu, Xinyue Chen, Che Wang, Yiming Zhang, Keith W. Ross

ICLR 2022 On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning Che Wang, Shuhan Yuan, Kai Shao, Keith W. Ross

ICML 2021 On-Policy Deep Reinforcement Learning for the Average-Reward Criterion Yiming Zhang, Keith W Ross

ICLR 2021 Randomized Ensembled Double Q-Learning: Learning Fast Without a Model Xinyue Chen, Che Wang, Zijian Zhou, Keith W. Ross

ICLR 2019 Supervised Policy Update for Deep Reinforcement Learning Quan Vuong, Yiming Zhang, Keith W. Ross