7 citations · 10 across the 4 of their papers we have counts for
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cs.AI2019
Learning to Learn in Simulation
Ervin Teng, Bob Iannucci
Deep learning often requires the manual collection and annotation of a training set. On robotic platforms, can we partially automate this task by training the robot to be curious,…
cs.AI2019★ 1 cited
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning
Arthur Juliani, Ahmed Khalifa, Vincent-Pierre Berges +6
The rapid pace of recent research in AI has been driven in part by the presence of fast and challenging simulation environments. These environments often take the form of games; wi…