Publications

Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James McInerney, Dawen Liang, Nathan Kallus, Csaba Szepesvári (2024). Switching the Loss Reduces the Cost in Batch Reinforcement Learning. International Conference on Machine Learning.

Han Wang, Erfan Miahi, Martha White, Marlos C Machado, Zaheer Abbas, Raksha Kumaraswamy, Vincent Liu, Adam White (2024). Investigating the properties of neural network representations in reinforcement learning. Artificial Intelligence.

Vincent Liu, Prabhat Nagarajan, Andrew Patterson, Martha White (2023). When is Offline Policy Selection Feasible for Reinforcement Learning?. Under submission.

Vincent Liu, James R Wright, Martha White (2023). Exploiting action impact regularity and exogenous state variables for offline reinforcement learning. Journal of Artificial Intelligence Research.

Vincent Liu, Yash Chandak, Philip Thomas, Martha White (2023). Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments. International Conference on Artificial Intelligence and Statistics.

Vincent Liu, Han Wang, Ruo Yu Tao, Khurram Javed, White Adam, Martha White (2023). Measuring and Mitigating Interference in Reinforcement Learning. Conference on Lifelong Learning Agents.

Han Wang, Archit Sakhadeo, Adam M White, James M Bell, Vincent Liu, Xutong Zhao, Puer Liu, Tadashi Kozuno, Alona Fyshe, Martha White (2022). No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL. Transactions on Machine Learning Research.

Somjit Nath, Vincent Liu, Alan Chan, Adam White, Martha White (2020). Training Recurrent Neural Networks Online by Learning Explicit State Variables. International Conference on Learning Representations.

Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White (2019). The utility of sparse representations for control in reinforcement learning. Proceedings of the AAAI Conference on Artificial Intelligence.

Andrew Jacobsen, Vincent Liu, Roshan Shariff, Adam White, Martha White (2019). A Value Function Basis for Nexting and Multi-step Prediction. The Multi-disciplinary Conference on Reinforcement Learning and Decision Making.