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Chi-Guhn Lee

Burning RED: Unlocking Subtask-Driven Reinforcement Learning and Risk-Awareness in Average-Reward Markov Decision Processes

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Oct 14, 2024
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Bayesian Optimization Framework for Efficient Fleet Design in Autonomous Multi-Robot Exploration

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Aug 21, 2024
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Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps

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Oct 07, 2022
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Quantum-Inspired Tensor Neural Networks for Partial Differential Equations

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Aug 10, 2022
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Don't overfit the history -- Recursive time series data augmentation

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Jul 06, 2022
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Meta-free few-shot learning via representation learning with weight averaging

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Apr 30, 2022
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Risk-Aware Transfer in Reinforcement Learning using Successor Features

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May 28, 2021
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Attentive Gaussian processes for probabilistic time-series generation

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Feb 10, 2021
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ε-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning

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Jul 02, 2020
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Bayesian Experience Reuse for Learning from Multiple Demonstrators

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Jun 10, 2020
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