55 citations · 66 across the 4 of their papers we have counts for
3 papers · 1 filter
Representational efficiency outweighs action efficiency in human program induction
Sophia Sanborn, David D. Bourgin, Michael Chang +1
The importance of hierarchically structured representations for tractable planning has long been acknowledged. However, the questions of how people discover such abstractions and h…
Automatically Composing Representation Transformations as a Means for Generalization
Michael B. Chang, Abhishek Gupta, Sergey Levine +1
A generally intelligent learner should generalize to more complex tasks than it has previously encountered, but the two common paradigms in machine learning -- either training a se…
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
Sjoerd van Steenkiste, Michael Chang, Klaus Greff +1
Common-sense physical reasoning is an essential ingredient for any intelligent agent operating in the real-world. For example, it can be used to simulate the environment, or to inf…