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No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL


May 18, 2022
Han Wang, Archit Sakhadeo, Adam White, James Bell, Vincent Liu, Xutong Zhao, Puer Liu, Tadashi Kozuno, Alona Fyshe, Martha White

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Investigating the Properties of Neural Network Representations in Reinforcement Learning


Mar 30, 2022
Han Wang, Erfan Miahi, Martha White, Marlos C. Machado, Zaheer Abbas, Raksha Kumaraswamy, Vincent Liu, Adam White

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DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning


Nov 23, 2021
Alex Tamkin, Vincent Liu, Rongfei Lu, Daniel Fein, Colin Schultz, Noah Goodman

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* NeurIPS 2021, Datasets & Benchmarks Track 

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


Nov 15, 2021
Vincent Liu, James Wright, Martha White

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Towards a practical measure of interference for reinforcement learning


Jul 07, 2020
Vincent Liu, Adam White, Hengshuai Yao, Martha White

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* 18 pages 

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Performance metrics for intervention-triggering prediction models do not reflect an expected reduction in outcomes from using the model


Jun 02, 2020
Alejandro Schuler, Aashish Bhardwaj, Vincent Liu

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Incrementally Learning Functions of the Return


Jul 05, 2019
Brendan Bennett, Wesley Chung, Muhammad Zaheer, Vincent Liu

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Recurrent Control Nets for Deep Reinforcement Learning


Jan 18, 2019
Vincent Liu, Ademi Adeniji, Nathaniel Lee, Jason Zhao, Mario Srouji

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The Utility of Sparse Representations for Control in Reinforcement Learning


Nov 15, 2018
Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White

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* Association for the Advancement of Artificial Intelligence 2019 

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Attribute-aware Collaborative Filtering: Survey and Classification


Oct 20, 2018
Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, Shou-De Lin

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