Liu, Vincent

9 publications

AAAI 2024 Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint) Vincent Liu, James R. Wright, Martha White

ICML 2024 Switching the Loss Reduces the Cost in Batch Reinforcement Learning Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James Mcinerney, Dawen Liang, Nathan Kallus, Csaba Szepesvari

AISTATS 2023 Asymptotically Unbiased Off-Policy Policy Evaluation When Reusing Old Data in Nonstationary Environments Vincent Liu, Yash Chandak, Philip Thomas, Martha White

JAIR 2023 Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning Vincent Liu, James R. Wright, Martha White

CoLLAs 2023 Measuring and Mitigating Interference in Reinforcement Learning Vincent Liu, Han Wang, Ruo Yu Tao, Khurram Javed, Adam White, Martha White

NeurIPS 2022 DABS 2.0: Improved Datasets and Algorithms for Universal Self-Supervision Alex Tamkin, Gaurab Banerjee, Mohamed Owda, Vincent Liu, Shashank Rammoorthy, Noah Goodman

TMLR 2022 No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL Han Wang, Archit Sakhadeo, Adam M White, James M Bell, Vincent Liu, Xutong Zhao, Puer Liu, Tadashi Kozuno, Alona Fyshe, Martha White

ICLR 2020 Training Recurrent Neural Networks Online by Learning Explicit State Variables Somjit Nath, Vincent Liu, Alan Chan, Xin Li, Adam White, Martha White

AAAI 2019 The Utility of Sparse Representations for Control in Reinforcement Learning Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White