2018
Learning Coupled Forward-Inverse Models with Combined Prediction Errors
ICRA 2018poster
Challenging tasks in unstructured environments require robots to learn complex models. Given a large amount of information, learning multiple simple models can offer an efficient alternative to a monolithic complex network. Training multiple models-that is, learning their parameters and their respon…