NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:4493
Title:Learning-In-The-Loop Optimization: End-To-End Control And Co-Design Of Soft Robots Through Learned Deep Latent Representations

This is a borderline paper showing how to learn a latent representation using a VAE for control of soft robots. There were concerns by the reviewers about how the results could be generalized and scaled to other simulations and systems. However, there was consensus that the work was novel and should be presented at NeurIPS.