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08/15/2023
GRINN: A Physics-Informed Neural Network for solving hydrodynamic systems in the presence of self-gravity
Modeling self-gravitating gas flows is essential to answering many funda...
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06/08/2022
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance
Many deep reinforcement learning algorithms rely on simple forms of expl...
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02/23/2022
Using Bayesian Deep Learning to infer Planet Mass from Gaps in Protoplanetary Disks
Planet induced sub-structures, like annular gaps, observed in dust emiss...
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02/14/2022
Continual Learning from Demonstration of Robotic Skills
Methods for teaching motion skills to robots focus on training for a sin...
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07/19/2021
DPNNet-2.0 Part I: Finding hidden planets from simulated images of protoplanetary disk gaps
The observed sub-structures, like annular gaps, in dust emissions from p...
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10/29/2020
How do Offline Measures for Exploration in Reinforcement Learning behave?
Sufficient exploration is paramount for the success of a reinforcement l...
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09/02/2019
