Search Results for author: Timothy Erps

Found 4 papers, 1 papers with code

AutoOED: Automated Optimal Experimental Design Platform with Data- and Time-Efficient Multi-Objective Optimization

no code implementations • 29 Sep 2021 • Yunsheng Tian, Mina Konakovic Lukovic, Michael Foshey, Timothy Erps, Beichen Li, Wojciech Matusik

We present AutoOED, an Automated Optimal Experimental Design platform powered by machine learning to accelerate discovering solutions with optimal objective trade-offs.

Bayesian Optimization BIG-bench Machine Learning +1

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Closed-Loop Control of Additive Manufacturing via Reinforcement Learning

no code implementations • 29 Sep 2021 • Michal Piovarci, Michael Foshey, Timothy Erps, Jie Xu, Vahid Babaei, Piotr Didyk, Wojciech Matusik, Szymon Rusinkiewicz, Bernd Bickel

We further show that in combination with reinforcement learning, our model can be used to discover control policies that outperform state-of-the-art controllers.

reinforcement-learning Reinforcement Learning (RL)

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Polygrammar: Grammar for Digital Polymer Representation and Generation

no code implementations • 5 May 2021 • Minghao Guo, Wan Shou, Liane Makatura, Timothy Erps, Michael Foshey, Wojciech Matusik

Here, we present a parametric, context-sensitive grammar designed specifically for the representation and generation of polymers.

valid

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AutoOED: Automated Optimal Experiment Design Platform

1 code implementation • 13 Apr 2021 • Yunsheng Tian, Mina Konaković Luković, Timothy Erps, Michael Foshey, Wojciech Matusik

We present AutoOED, an Optimal Experiment Design platform powered with automated machine learning to accelerate the discovery of optimal solutions.

Bayesian Optimization BIG-bench Machine Learning

135

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