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02/01/2022
Tutorial on amortized optimization for learning to optimize over continuous domains
Optimization is a ubiquitous modeling tool that is often deployed in set...
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05/05/2021
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints
Bridging logical and algorithmic reasoning with modern machine learning ...
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04/20/2021
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning
Model-based reinforcement learning is a compelling framework for data-ef...
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10/28/2019
Differentiable Convex Optimization Layers
Recent work has shown how to embed differentiable optimization problems ...
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10/02/2019
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
Training an agent to solve control tasks directly from high-dimensional ...
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03/01/2017
