Method and apparatus for learning locally-adaptive local device task based on cloud simulation

A method for learning a locally-adaptive local device task, the method comprising:

• obtaining observation data about a surrounding environment;
• configuring a local simulation environment by using the observation data;
• predicting possibility of success for an assigned task by using the local simulation environment;
• requesting, to a cloud server, relearning of a policy network of the assigned task, when the assigned task is determined to be failure;
• and
• updating the policy network of the assigned task by receiving a relearned policy network from the cloud server.

An apparatus for learning a locally-adaptive local device task, the apparatus comprising:

• a receiver configured to receive observation data about a surrounding environment recognized by a local device;
• a relearning unit configured to perform a domain randomization based on the observation data and a failure type of a task assigned to the local device and to relearn a policy network of the assigned task based on the domain randomization;
• and
• a transmitter configured to transmit the relearned policy network to the local device so as to update a policy network of the local device for the assigned task.