Vincent Liu
Vincent Liu
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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
232019
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
52020
A caution on interpreting odds ratios
KL Sainani, G Schmajuk, V Liu
Sleep 32 (8), 976-976, 2009
52009
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
32018
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
12019
Incrementally Learning Functions of the Return
B Bennett, W Chung, M Zaheer, V Liu
arXiv preprint arXiv:1907.04651, 2019
12019
DABS: a Domain-Agnostic Benchmark for Self-Supervised Learning
A Tamkin, V Liu, R Lu, D Fein, C Schultz, N Goodman
2021
Measuring and mitigating interference in reinforcement learning
V Liu, AM White, H Yao, M White
2020
Towards a practical measure of interference for reinforcement learning
V Liu, A White, H Yao, M White
arXiv preprint arXiv:2007.03807, 2020
2020
Sparse Representation Neural Networks for Online Reinforcement Learning
V Liu
2019
A Value Function Basis for Nexting and Multi-step Prediction
A Jacobsen, V Liu, R Shariff, A White, M White
The Utility of Sparse Representations for Control in Reinforcement Learning Download PDF
V Liu, R Kumaraswamy, L Le, M White
Toward Understanding Catastrophic Interference in Value-based Reinforcement Learning
V Liu, H Yao, M White
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Artículos 1–13