The Importance of Selective Knowledge Transfer for Lifelong Learning

Versatile agents situated in rich, dynamic environments must It is not necessarily possible to select the source knowledge be capable of continually learning and refining their knowledge to transfer to a new target task by examining only the surface through experience. These agents will face a variety of similarities between the tasks. The selection must support learning tasks, and can transfer knowledge between tasks to the process of knowledge transfer by choosing source improve performance and accelerate learning. In this context, knowledge based on whether it will transfer well to the target a learning task can be as simple as discovering the effects task. In our previous work, we developed methods that of an operator on the environment, or as complex as accomplishing identify the source knowledge to transfer based on this concept a specific goal -- anything that can be learned of transferability to the target task. Intuitively, transferability can be considered a task. As the agent experiences and learns is the amount that the transferred information is a model for each task, it gains access to new data and knowledge.