Ian Char

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 18

Top Topics

Dynamical Systems

Reinforcement Learning

Partially Observable

Top Venues

Publications

Ian Char, Youngseog Chung, Joseph Abbate, Egemen Kolemen, Jeff G. Schneider
Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks. CoRR (2024)
Ian Char, Joseph Abbate, Laszlo Bardoczi, Mark D. Boyer, Youngseog Chung, Rory Conlin, Keith Erickson, Viraj Mehta, Nathan Richner, Egemen Kolemen, Jeff G. Schneider
Offline Model-Based Reinforcement Learning for Tokamak Control. L4DC (2023)
Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic
Near-optimal Policy Identification in Active Reinforcement Learning. ICLR (2023)
Ian Char, Jeff G. Schneider
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks. CoRR (2023)
Ian Char, Jeff Schneider
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks. NeurIPS (2023)
Conor Igoe, Youngseog Chung, Ian Char, Jeff Schneider
How Useful are Gradients for OOD Detection Really? CoRR (2022)
Ifigeneia Apostolopoulou, Ian Char, Elan Rosenfeld, Artur Dubrawski
Deep Attentive Variational Inference. ICLR (2022)
Viraj Mehta, Ian Char, Joseph Abbate, Rory Conlin, Mark D. Boyer, Stefano Ermon, Jeff Schneider, Willie Neiswanger
Exploration via Planning for Information about the Optimal Trajectory. NeurIPS (2022)
Viraj Mehta, Ian Char, Joseph Abbate, Rory Conlin, Mark D. Boyer, Stefano Ermon, Jeff Schneider, Willie Neiswanger
Exploration via Planning for Information about the Optimal Trajectory. CoRR (2022)
Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic
Near-optimal Policy Identification in Active Reinforcement Learning. CoRR (2022)
Ian Char, Viraj Mehta, Adam Villaflor, John M. Dolan, Jeff Schneider
BATS: Best Action Trajectory Stitching. CoRR (2022)
Youngseog Chung, Willie Neiswanger, Ian Char, Jeff Schneider
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification. NeurIPS (2021)
Youngseog Chung, Ian Char, Han Guo, Jeff Schneider, Willie Neiswanger
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification. CoRR (2021)
Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff G. Schneider
Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction. CDC (2021)
Youngseog Chung, Ian Char, Willie Neiswanger, Kirthevasan Kandasamy, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff Schneider
Offline Contextual Bayesian Optimization for Nuclear Fusion. CoRR (2020)
Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D. Boyer, Egemen Kolemen, Jeff Schneider
Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction. CoRR (2020)
Youngseog Chung, Willie Neiswanger, Ian Char, Jeff Schneider
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification. CoRR (2020)
Ian Char, Youngseog Chung, Willie Neiswanger, Kirthevasan Kandasamy, Oak Nelson, Mark D. Boyer, Egemen Kolemen
Offline Contextual Bayesian Optimization. NeurIPS (2019)
Esther Vasiete, Yan Chen, Ian Char, Tom Yeh, Vishal M. Patel, Larry S. Davis, Rama Chellappa
Toward a non-intrusive, physio- behavioral biometric for smartphones. Mobile HCI (2014)