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11/28/2022
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces
Multi-robot manipulation tasks involve various control entities that can...
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03/19/2020
Learning to Fly via Deep Model-Based Reinforcement Learning
Learning to control robots without requiring models has been a long-term...
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11/02/2019
Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations
Learning a model of dynamics from high-dimensional images can be a core ...
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10/13/2017
Unsupervised Real-Time Control through Variational Empowerment
We introduce a methodology for efficiently computing a lower bound to em...
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09/26/2016
Variational Inference with Hamiltonian Monte Carlo
Variational inference lies at the core of many state-of-the-art algorith...
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06/23/2016
Unsupervised preprocessing for Tactile Data
Tactile information is important for gripping, stable grasp, and in-hand...
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05/20/2016
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data
We introduce Deep Variational Bayes Filters (DVBF), a new method for uns...
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09/28/2015
Efficient Empowerment
Empowerment quantifies the influence an agent has on its environment. Th...
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12/29/2014