
Sampleefficient CrossEntropy Method for Realtime Planning
Trajectory optimizers for modelbased reinforcement learning, such as th...
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Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
Building on recent progress at the intersection of combinatorial optimiz...
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Optimizing Rankbased Metrics with Blackbox Differentiation
Rankbased metrics are some of the most widely used criteria for perform...
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Differentiation of Blackbox Combinatorial Solvers
Achieving fusion of deep learning with combinatorial algorithms promises...
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Fast NonParametric Learning to Accelerate MixedInteger Programming for Online Hybrid Model Predictive Control
Today's fast linear algebra and numerical optimization tools have pushed...
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Analytical classical density functionals from an equation learning network
We explore the feasibility of using machine learning methods to obtain a...
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Control What You Can: Intrinsically Motivated TaskPlanning Agent
We present a novel intrinsically motivated agent that learns how to cont...
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Autonomous Identification and GoalDirected Invocation of EventPredictive Behavioral Primitives
Voluntary behavior of humans appears to be composed of small, elementary...
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Variational Autoencoders Pursue PCA Directions (by Accident)
The Variational Autoencoder (VAE) is a powerful architecture capable of ...
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Deep Reinforcement Learning for EventTriggered Control
Eventtriggered control (ETC) methods can achieve highperformance contr...
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Learning Equations for Extrapolation and Control
We present an approach to identify concise equations from data using a s...
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Extrapolation and learning equations
In classical machine learning, regression is treated as a black box proc...
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