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Chai Wah Wu

A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms

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Jun 20, 2024
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Active Learning of Quantum System Hamiltonians yields Query Advantage

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Dec 29, 2021
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Dither computing: a hybrid deterministic-stochastic computing framework

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Feb 22, 2021
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A Control-Model-Based Approach for Reinforcement Learning

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May 28, 2019
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LUTNet: speeding up deep neural network inferencing via look-up tables

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May 25, 2019
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Designing communication systems via iterative improvement: error correction coding with Bayes decoder and codebook optimized for source symbol error

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Oct 16, 2018
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Can machine learning identify interesting mathematics? An exploration using empirically observed laws

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Sep 10, 2018
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ProdSumNet: reducing model parameters in deep neural networks via product-of-sums matrix decompositions

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Sep 06, 2018
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A General Family of Robust Stochastic Operators for Reinforcement Learning

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May 21, 2018
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