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Modular Object-Oriented Games: A Task Framework for Reinforcement Learning, Psychology, and Neuroscience
In recent years, trends towards studying simulated games have gained mom...
02/25/2021 ∙ by Nicholas Watters, et al. ∙
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A Heuristic for Unsupervised Model Selection for Variational Disentangled Representation Learning
Disentangled representations have recently been shown to improve data ef...
05/29/2019 ∙ by Sunny Duan, et al. ∙
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COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration
Data efficiency and robustness to task-irrelevant perturbations are long...
05/22/2019 ∙ by Nicholas Watters, et al. ∙
12
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MONet: Unsupervised Scene Decomposition and Representation
The ability to decompose scenes in terms of abstract building blocks is ...
01/22/2019 ∙ by Christopher P Burgess, et al. ∙
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Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs
We present a simple neural rendering architecture that helps variational...
01/21/2019 ∙ by Nicholas Watters, et al. ∙
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Visual Interaction Networks
From just a glance, humans can make rich predictions about the future st...
06/05/2017 ∙ by Nicholas Watters, et al. ∙
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