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Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modelling
Current autoencoder-based disentangled representation learning methods a...
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Program Synthesis with Pragmatic Communication
Program synthesis techniques construct or infer programs from user-provi...
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Write, Execute, Assess: Program Synthesis with a REPL
We present a neural program synthesis approach integrating components wh...
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Few-Shot Bayesian Imitation Learning with Logic over Programs
We describe an expressive class of policies that can be efficiently lear...
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Residual Policy Learning
We present Residual Policy Learning (RPL): a simple method for improving...
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At Human Speed: Deep Reinforcement Learning with Action Delay
There has been a recent explosion in the capabilities of game-playing ar...
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Logical Rule Induction and Theory Learning Using Neural Theorem Proving
A hallmark of human cognition is the ability to continually acquire and ...
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Learning to Share and Hide Intentions using Information Regularization
Learning to cooperate with friends and compete with foes is a key compon...
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Blaming humans in autonomous vehicle accidents: Shared responsibility across levels of automation
When a semi-autonomous car crashes and harms someone, how are blame and ...
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A Computational Model of Commonsense Moral Decision Making
We introduce a new computational model of moral decision making, drawing...
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Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints
In this paper, we present a new task that investigates how people intera...
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