Simpler bounded suboptimal search
WebbOptimistic Search: optimistic: f = g + (2w-1)h; proof: f = g+h Optimistic search relies on the fact that WA* often finds paths that are better than w-suboptimal. It searches with a … Webb16 juli 2011 · Typically these algorithms use a single admissible heuristic both for guiding search and bounding solution cost. In this paper, we present a new approach to bounded …
Simpler bounded suboptimal search
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WebbSkeptical Search [Thayer and Ruml, 2011] replaces the aggressive weighting of optimistic search with a weighted search on an inadmissible heuristic, as in fb′(n) = g(n)+ w·bh(n), … Webbfinding suboptimal solutions are called suboptimal search algorithms. Research has focused on bounded suboptimal search (BSS), which guarantees that the solution found …
Webb21 juni 2014 · Explicit Estimation Search (EES) is a recent state-of-the-art algorithm specifically designed for bounded suboptimal search. Although it tends to expand fewer … Webbaaai.org
http://matthatem.com/papers/sees-aaai-14.pdf Webb18 maj 2024 · The analysis presents a simpler proof and generalizes the result in three aspects: (1) the priority function no longer has to be differentiable everywhere, (2) the …
Explicit Estimation Search (EES) is a recent state-of-the-art algorithm specifically designed for bounded suboptimal search. Although it tends to expand fewer nodes than alternative algorithms, such as weighted A* (WA*), its per-node expansion overhead is higher, causing it to sometimes take longer.
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