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Albert Zhao

2 accepted papers

2020

SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning

CoRL 2020

We describe a policy learning approach to map visual inputs to driving controls conditioned on turning command that leverages side tasks on semantics and object affordances via a learned representation trained for driving. To learn this representation, we train a squeeze network to drive using annot