Automated Reinforcement Learning Based on Parameter Sharing Network Architecture Search

The performance of machine learning depends on the choice of hyperparameters to a great extent. Only by choosing the appropriate hyperparameters can we learn the desired learning results. At present, the end-to-end learning algorithm is widely concerned in the academic circles, and realizes the agile design from the demand end to the execution end at the design task level, which can dramatically r...