Title: Tree Search using Human Expert’s Knowledge
Speaker: Mustafa Faisal Abdelwahed
For a while, tree search algorithms have been used in solving challenging problems like planning problems and combinatorial optimization search. Researchers tend to encode their search parameters or knowledge into objective functions, which receives a state then generates a number to represent how satisfying this state is concerning built-in constraints or a targeted solution configuration while pruning branches with no possible potential. However, they ignored a vital point: transformation/encoding causes information loss, leading to degrading the solution quality and may result in more computational costs. Hence, in the upcoming presentation, we shall explore how we can augment the human experience directly with tree search without encoding them into objective functions.