Nice use of Q-Networks and MCTS to do scene arrangement. Given an initial layout it learns to find a sequence of moves (actions) that bring it close to the target layout all with a collision free path.
github.com/HanqingWangAI/…
full video:
github.com/HanqingWangAI/…
full video:
Q-Network used in this work 
Scenes can also be obtained via generative modelling
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models
arxiv.org/abs/1811.12463
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models
arxiv.org/abs/1811.12463
generating scenes via RL or generative models, training systems in them, tracking performance and if success rate is high go back to generating scenes but with increasing complexity all without a human in the loop - some sort of auto-ml.
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