This research project uses deep RL with a neural renderer to train agents that decompose images into a small number of brush strokes. The agent learns to plan stroke positions and colors through trial and error without human painter demonstrations. It produces visual artwork by sequentially drawing strokes to reconstruct texture-rich images.