Search
"Search is a problem-solving technique that systematically explores a space of problem states, i.e., successive and alternative stages in the problem-solving process. Examples of problem states might include the different board configurations in a game or intermediate steps in a reasoning process. This space of alternative solutions is then searched to find an answer. Newell and Simon (1976) have argued that this is the essential basis of human problem solving. Indeed, when a chess player examines the effects of different moves or a doctor considers a number of alternative diagnoses, they are searching among alternatives."
– from Section 1.2 of Chapter One of George F. Luger's textbook, Artificial Intelligence: Structures and Strategies for Complex Problem Solving, 5th Edition (Addison-Wesley; 2005).
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Appendix to " GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search "
Neural Information Processing Systems
The overall network architecture is shown in Figure 1. This work was done when the author was with Rutgers University. The overall network architecture is shown in Figure 1. We also apply the ReLU activation after its first and second layers. Empirical evaluations show that NHE exhibits admissibility and consistency.
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