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Structured agents for physical construction
Physical construction -- the ability to compose objects, subject to phys...
04/05/2019 ∙ by Victor Bapst, et al. ∙
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Pragmatic-Pedagogic Value Alignment
For an autonomous system to provide value (e.g., to customers, designers...
07/20/2017 ∙ by Jaime F. Fisac, et al. ∙
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Metacontrol for Adaptive Imagination-Based Optimization
Many machine learning systems are built to solve the hardest examples of...
05/07/2017 ∙ by Jessica B. Hamrick, et al. ∙
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Generating Plans that Predict Themselves
Collaboration requires coordination, and we coordinate by anticipating o...
02/14/2018 ∙ by Jaime F. Fisac, et al. ∙
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Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration
The study of human-robot interaction is fundamental to the design and us...
02/06/2018 ∙ by Chang Liu, et al. ∙
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Relational inductive biases, deep learning, and graph networks
Artificial intelligence (AI) has undergone a renaissance recently, makin...
06/04/2018 ∙ by Peter W. Battaglia, et al. ∙
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Relational inductive bias for physical construction in humans and machines
While current deep learning systems excel at tasks such as object classi...
06/04/2018 ∙ by Jessica B. Hamrick, et al. ∙
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Object-oriented state editing for HRL
We introduce agents that use object-oriented reasoning to consider alter...
10/31/2019 ∙ by Victor Bapst, et al. ∙
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Combining Q-Learning and Search with Amortized Value Estimates
We introduce "Search with Amortized Value Estimates" (SAVE), an approach...
12/05/2019 ∙ by Jessica B. Hamrick, et al. ∙
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