Vincent Liu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024

Under the Surface: Tracking the Artifactuality of LLM-Generated Data.

[BibT_eX]

[DOI]

Shirley Anugrah Hayati

CoRR, 2024

Investigating the properties of neural network representations in reinforcement learning.

[BibT_eX]

[DOI]

Artif. Intell., 2024

Switching the Loss Reduces the Cost in Batch Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Efficient Value Function Upper Bounds for a Class of Constrained Linear Time-Varying Optimal Control Problems.

[BibT_eX]

[DOI]

Vincent Liu

Chris Manzie

Peter M. Dower

Proceedings of the American Control Conference, 2024

Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint).

[BibT_eX]

[DOI]

Vincent Liu

James R. Wright

Martha White

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Vincent Liu

James R. Wright

Martha White

J. Artif. Intell. Res., 2023

When is Offline Policy Selection Sample Efficient for Reinforcement Learning?

[BibT_eX]

[DOI]

CoRR, 2023

Measuring and Mitigating Interference in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2023

Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

DABS 2.0: Improved Datasets and Algorithms for Universal Self-Supervision.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Constraint Handling of an Airbreathing Hypersonic Vehicle via Predictive Reference Management.

[BibT_eX]

[DOI]

Vincent Liu

Chris Manzie

Peter M. Dower

Proceedings of the American Control Conference, 2022

2021

Exploiting Action Impact Regularity and Partially Known Models for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Vincent Liu

James R. Wright

Martha White

CoRR, 2021

DABS: a Domain-Agnostic Benchmark for Self-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Linear System Security: Detection and Correction of Adversarial Attacks on a Quanser AERO System.

[BibT_eX]

[DOI]

Vincent Liu

Margreta Kuijper

Proceedings of the 2021 European Control Conference, 2021

2020

Towards a practical measure of interference for reinforcement learning.

[BibT_eX]

[DOI]

CoRR, 2020

Training Recurrent Neural Networks Online by Learning Explicit State Variables.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

The emergent landscape of the mouse gut endoderm at single-cell resolution.

[BibT_eX]

[DOI]

Anna-Katerina Hadjantonakis

Dana Pe'er

Nat., 2019

Attribute-Aware Recommender System Based on Collaborative Filtering: Survey and Classification.

[BibT_eX]

[DOI]

Frontiers Big Data, 2019

Incrementally Learning Functions of the Return.

[BibT_eX]

[DOI]

CoRR, 2019

Recurrent Control Nets for Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

The Utility of Sparse Representations for Control in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Attribute-aware Collaborative Filtering: Survey and Classification.

[BibT_eX]

[DOI]

CoRR, 2018

Vincent Liu

Bibliography

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