1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
Learning Parsimonious Dynamics for Generalization in Reinforcement Learning
Tankred Saanum, Eric Schulz
Humans are skillful navigators: We aptly maneuver through new places, realize when we are back at a location we have seen before, and can even conceive of shortcuts that go through…
cs.LG2022
Stochastic Gradient Descent Captures How Children Learn About Physics
Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz
As children grow older, they develop an intuitive understanding of the physical processes around them. They move along developmental trajectories, which have been mapped out extens…
stat.AP2016
Simple trees in complex forests: Growing Take The Best by Approximate Bayesian Computation
Eric Schulz, Maarten Speekenbrink, Björn Meder
How can heuristic strategies emerge from smaller building blocks? We propose Approximate Bayesian Computation as a computational solution to this problem. As a first proof of conce…