Leah Chrestien

Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal

In imitation learning for planning, parameters of heuristic functions are optimized against a set of solved problem instances. This work revisits the necessary and sufficient conditions of strictly optimally efficient heuristics for forward search algorithms, mainly A* and greedy best-first search,…