Heuristic Domain Adaptation A Appendix A.1 Main Differences Table 1: Main differences between heuristic search and HDA

Neural Information Processing Systems 

Heuristic search is devised for the task of path search problems, while heuristic domain adaptation (HDA) is implemented on the task of domain adaptation. The different tasks result in different properties between heuristic search and HDA. We summarize the main different properties as shown in Table 1. Heuristic search aims to obtain a least-cost path to the destination. While the goal of HDA is to obtain the domain-invariant representations, in a goal-oriented manner.