Summary
Pathfinding is essential for making effective decisions about how to move through complex spaces, from robots navigating crowded warehouses to synthesizing molecules through sequences of reactions. A significant roadblock to solving these pathfinding problems is that the goal may only be describable at a high level. For example, in chemical synthesis, scientists may know the properties a therapeutic molecule should have, but not know of any molecule that has such properties. This project seeks to remove this roadblock by creating novel artificial intelligence (AI) algorithms to solve pathfindi
