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Vincent Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Vincent Liu 0001
— University of Pennsylvania, Philadelphia, PA, USA (and 1 more)
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2020 – today
- 2024
- [j5]Han Wang
Investigating the properties of neural network representations in reinforcement learning. Artif. Intell. 330: 104100 (2024) - [c11]Vincent Liu, James R. Wright, Martha White:
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint). AAAI 2024: 22706 - [c10]Vincent Liu, Chris Manzie, Peter M. Dower:
Efficient Value Function Upper Bounds for a Class of Constrained Linear Time-Varying Optimal Control Problems. ACC 2024: 4084-4089 - [c9]Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James McInerney, Dawen Liang, Nathan Kallus, Csaba Szepesvári:
Switching the Loss Reduces the Cost in Batch Reinforcement Learning. ICML 2024 - [i14]Debarati Das, Karin de Langis, Anna Martin-Boyle, Jaehyung Kim, Minhwa Lee, Zae Myung Kim, Shirley Anugrah Hayati, Risako Owan, Bin Hu, Ritik Parkar, Ryan Koo, Jong Inn Park, Aahan Tyagi, Libby Ferland, Sanjali Roy, Vincent Liu, Dongyeop Kang:
Under the Surface: Tracking the Artifactuality of LLM-Generated Data. CoRR abs/2401.14698 (2024) - [i13]Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James McInerney, Dawen Liang, Nathan Kallus, Csaba Szepesvári:
Switching the Loss Reduces the Cost in Batch Reinforcement Learning. CoRR abs/2403.05385 (2024) - 2023
- [j4]Vincent Liu, James R. Wright, Martha White:
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning. J. Artif. Intell. Res. 77: 71-101 (2023) - [c8]Vincent Liu, Yash Chandak, Philip S. Thomas, Martha White:
Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments. AISTATS 2023: 5474-5492 - [c7]Vincent Liu, Han Wang, Ruo Yu Tao, Khurram Javed, Adam White, Martha White:
Measuring and Mitigating Interference in Reinforcement Learning. CoLLAs 2023: 781-795 - [i12]Vincent Liu, Yash Chandak, Philip S. Thomas, Martha White:
Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments. CoRR abs/2302.11725 (2023) - [i11]Vincent Liu, Han Wang, Ruo Yu Tao, Khurram Javed, Adam White, Martha White:
Measuring and Mitigating Interference in Reinforcement Learning. CoRR abs/2307.04887 (2023) - [i10]Vincent Liu, Prabhat Nagarajan, Andrew Patterson, Martha White:
When is Offline Policy Selection Sample Efficient for Reinforcement Learning? CoRR abs/2312.02355 (2023) - 2022
- [j3]Han Wang, Archit Sakhadeo, Adam M. White, James Bell, Vincent Liu, Xutong Zhao, Puer Liu, Tadashi Kozuno, Alona Fyshe, Martha White:
No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL. Trans. Mach. Learn. Res. 2022 (2022) - [c6]Vincent Liu, Chris Manzie, Peter M. Dower:
Constraint Handling of an Airbreathing Hypersonic Vehicle via Predictive Reference Management. ACC 2022: 3991-3996 - [c5]Alex Tamkin, Gaurab Banerjee, Mohamed Owda, Vincent Liu, Shashank Rammoorthy, Noah D. Goodman:
DABS 2.0: Improved Datasets and Algorithms for Universal Self-Supervision. NeurIPS 2022 - [i9]Han Wang, Erfan Miahi, Martha White, Marlos C. Machado, Zaheer Abbas, Raksha Kumaraswamy, Vincent Liu, Adam White:
Investigating the Properties of Neural Network Representations in Reinforcement Learning. CoRR abs/2203.15955 (2022) - [i8]Han Wang, Archit Sakhadeo, Adam White, James Bell, Vincent Liu, Xutong Zhao, Puer Liu, Tadashi Kozuno, Alona Fyshe
No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL. CoRR abs/2205.08716 (2022) - 2021
- [c4]Vincent Liu, Margreta Kuijper
Linear System Security: Detection and Correction of Adversarial Attacks on a Quanser AERO System. ECC 2021: 958-963 - [c3]Alex Tamkin, Vincent Liu, Rongfei Lu, Daniel Fein, Colin Schultz, Noah D. Goodman:
DABS: a Domain-Agnostic Benchmark for Self-Supervised Learning. NeurIPS Datasets and Benchmarks 2021 - [i7]Vincent Liu, James R. Wright, Martha White:
Exploiting Action Impact Regularity and Partially Known Models for Offline Reinforcement Learning. CoRR abs/2111.08066 (2021) - [i6]Alex Tamkin, Vincent Liu, Rongfei Lu, Daniel Fein, Colin Schultz, Noah D. Goodman:
DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning. CoRR abs/2111.12062 (2021) - 2020
- [c2]Somjit Nath, Vincent Liu, Alan Chan, Xin Li, Adam White, Martha White:
Training Recurrent Neural Networks Online by Learning Explicit State Variables. ICLR 2020 - [i5]Vincent Liu, Adam White, Hengshuai Yao, Martha White:
Towards a practical measure of interference for reinforcement learning. CoRR abs/2007.03807 (2020)
2010 – 2019
- 2019
- [j2]Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, Shou-De Lin:
Attribute-Aware Recommender System Based on Collaborative Filtering: Survey and Classification. Frontiers Big Data 2: 49 (2019) - [j1]Sonja Nowotschin, Manu Setty, Ying-Yi Kuo, Vincent Liu
The emergent landscape of the mouse gut endoderm at single-cell resolution. Nat. 569(7756): 361-367 (2019) - [c1]Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White:
The Utility of Sparse Representations for Control in Reinforcement Learning. AAAI 2019: 4384-4391 - [i4]Vincent Liu, Ademi Adeniji, Nathaniel Lee, Jason Zhao, Mario Srouji:
Recurrent Control Nets for Deep Reinforcement Learning. CoRR abs/1901.01994 (2019) - [i3]Brendan Bennett, Wesley Chung, Muhammad Zaheer, Vincent Liu:
Incrementally Learning Functions of the Return. CoRR abs/1907.04651 (2019) - 2018
- [i2]Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, Shou-De Lin:
Attribute-aware Collaborative Filtering: Survey and Classification. CoRR abs/1810.08765 (2018) - [i1]Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White:
The Utility of Sparse Representations for Control in Reinforcement Learning. CoRR abs/1811.06626 (2018) - 2010
- [e1]Marzia Zaman, Yawei Liang, Sohail M. Siddiqui, Tim Wang, Vincent Liu, Ceecee Lu:
E-business Technology and Strategy - International Conference, CETS 2010, Ottawa, Canada, September 29-30, 2010. Proceedings. Communications in Computer and Information Science 113, Springer 2010, ISBN 978-3-642-16396-8 [contents]
Coauthor Index
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