2019
Learning Programmatically Structured Representations with Perceptor Gradients
ICLR 2019poster
We present the perceptor gradients algorithm -- a novel approach to learning symbolic representations based on the idea of decomposing an agent's policy into i) a perceptor network extracting symbols from raw observation data and ii) a task encoding program which maps the input symbols to output act…