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Ian Char

Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks

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Apr 18, 2024
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PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks

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Jul 12, 2023
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Near-optimal Policy Identification in Active Reinforcement Learning

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Dec 19, 2022
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Exploration via Planning for Information about the Optimal Trajectory

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Oct 06, 2022
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How Useful are Gradients for OOD Detection Really?

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May 20, 2022
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BATS: Best Action Trajectory Stitching

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Apr 26, 2022
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Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification

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Sep 21, 2021
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Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification

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Dec 04, 2020
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Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction

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Jun 23, 2020
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Offline Contextual Bayesian Optimization for Nuclear Fusion

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Jan 06, 2020
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