Vincent Liu
The utility of sparse representations for control in reinforcement learning
V Liu, R Kumaraswamy, L Le, M White
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4384-4391, 2019
Attribute-aware recommender system based on collaborative filtering: Survey and classification
WH Chen, CC Hsu, YA Lai, V Liu, MY Yeh, SD Lin
Frontiers in big Data 2, 49, 2020
Investigating the properties of neural network representations in reinforcement learning
H Wang, E Miahi, M White, MC Machado, Z Abbas, R Kumaraswamy, ...
arXiv preprint arXiv:2203.15955, 2022
Towards a practical measure of interference for reinforcement learning
V Liu, A White, H Yao, M White
arXiv preprint arXiv:2007.03807, 2020
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning
V Liu, J Wright, M White
Journal of Artificial Intelligence Research, 2023
No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL
H Wang, A Sakhadeo, A White, J Bell, V Liu, X Zhao, P Liu, T Kozuno, ...
Transactions on Machine Learning Research, 2022
Training recurrent neural networks online by learning explicit state variables
S Nath, V Liu, A Chan, X Li, A White, M White
International conference on learning representations, 2019
Attribute-aware collaborative filtering: survey and classification
WH Chen, CC Hsu, YA Lai, V Liu, MY Yeh, SD Lin
arXiv preprint arXiv:1810.08765, 2018
Sparse Representation Neural Networks for Online Reinforcement Learning
V Liu
Measuring and mitigating interference in reinforcement learning
V Liu, H Wang, RY Tao, K Javed, A White, M White
Conference on Lifelong Learning Agents, 781-795, 2023
Switching the Loss Reduces the Cost in Batch Reinforcement Learning
A Ayoub, K Wang, V Liu, S Robertson, J McInerney, D Liang, N Kallus, ...
arXiv preprint arXiv:2403.05385, 2024
Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments
V Liu, Y Chandak, P Thomas, M White
International Conference on Artificial Intelligence and Statistics, 5474-5492, 2023
Incrementally Learning Functions of the Return
B Bennett, W Chung, M Zaheer, V Liu
arXiv preprint arXiv:1907.04651, 2019
When is Offline Policy Selection Sample Efficient for Reinforcement Learning?
V Liu, P Nagarajan, A Patterson, M White
arXiv preprint arXiv:2312.02355, 2023
A Value Function Basis for Nexting and Multi-step Prediction
A Jacobsen, V Liu, R Shariff, A White, M White
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Straipsniai 1–15