Method for inverse constraint learning of electronic device, and electronic device using inverse constraint learning

An electronic device, comprising:

• an acquisition unit for acquiring demonstrations and task-reward candidates in a first learning environment;
• a storage unit including instructions for outputting a constraint reward function based on the demonstrations and the task-reward candidates, using a pre-trained neural network;
• and
• a processing unit for controlling the neural network to output a learning result in a second learning environment based on the constraint reward function by executing the instructions.

A non-transitory computer-readable storage medium storing a computer program, wherein the computer program comprises instructions for causing a processor to perform an Inverse Constraint Learning method of an electronic device, and wherein the method comprises:

• acquiring demonstrations and task-reward candidates in a first learning environment of a neural network by the electronic device;
• estimating a total reward function that satisfies constraints, based on the demonstrations and the task-reward candidates;
• decomposing the total reward function into a transferable task reward function and a constraint reward function;
• and
• training the neural network to perform learning in a second learning environment, based on the constraint reward function.