Autonomous and Control Systems

Extend deep learning workflows with reinforcement learning, predictive maintenance, and autonomous navigation applications

Use Deep Learning Toolbox™ to incorporate deep learning in reinforcement learning, predictive maintenance, and autonomous navigation applications.

Featured Examples

Train a reinforcement learning agent to control a flying robot model.

Train a reinforcement learning agent to control a biped walking robot modeled in Simscape™ Multibody™.

Use a conditional generative adversarial network to produce synthetic data for model training.

Use simulation data to train a neural network than can detect faults in a chemical process.

Perform fault diagnosis of a rolling element bearing using a deep learning approach.