Transfer learning --- how information that is learned in one context can be transferred for use in a different setting --- has far-reaching consequences for agents operating under domain shifts. This talk will present lessons learned in transfer learning for robots and for humans. First, the methodology of structural sim-to-real transfer for robots will be …