Transfer of Knowledge Structures with Relational Temporal Difference Learning
نویسندگان
چکیده
The ability to transfer knowledge from one domain to another is an important aspect of learning. Knowledge transfer increases learning efficiency by freeing the learner from duplicating past efforts. In this paper, we demonstrate how reinforcement learning agents can use relational representations to transfer knowledge across related domains.
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