16 citations · 19 across the 2 of their papers we have counts for
2 papers
cs.CV2017★ 3 cited
A multitask deep learning model for real-time deployment in embedded systems
Miquel Martí, Atsuto Maki
We propose an approach to Multitask Learning (MTL) to make deep learning models faster and lighter for applications in which multiple tasks need to be solved simultaneously, which…
cs.RO2017★ 16 cited
Deep Predictive Policy Training using Reinforcement Learning
Ali Ghadirzadeh, Atsuto Maki, Danica Kragic +1
Skilled robot task learning is best implemented by predictive action policies due to the inherent latency of sensorimotor processes. However, training such predictive policies is c…