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  1. What is the fringe in the context of search algorithms?

    Jul 6, 2019 · In English, the fringe is (also) defined as the outer, marginal, or extreme part of an area, group, or sphere of activity. In the context of AI search algorithms, the state (or search) space is …

  2. A* and uniform-cost search are apparently incomplete

    Nov 24, 2019 · The evaluation function is used to choose the next node to visit from the fringe, which is the set of nodes that can potentially be visited. Whenever we visit a node, we remove it from the fringe.

  3. What are the differences between A* and greedy best-first search?

    Aug 30, 2019 · What are the differences between the A* algorithm and the greedy best-first search algorithm? Which one should I use? Which algorithm is the better one, and why?

  4. Why is A* optimal if the heuristic function is admissible?

    Apr 13, 2018 · The tree search does not remember which states it has already visited, only the "fringe" of states it hasn't visited yet. A graph search is a general search strategy for searching graph …

  5. What is the difference between tree search and graph search?

    There is always a lot of confusion about this concept, because the naming is misleading, given that both tree and graph searches produce a tree (from which you can derive a path) while exploring the …

  6. How does the uniform-cost search algorithm work?

    Nov 10, 2019 · What is the uniform-cost search (UCS) algorithm? How does it work? I would appreciate seeing a graphical execution of the algorithm. How does the frontier evolve in the case of UCS?

  7. What are alternatives to PCA for time series data?

    Feb 3, 2024 · I have some data (20 stock price time series) and want to compare different approaches for dimensionality reduction other than PCA (I want to fit only 2 variables in my AR model). I've tried …

  8. What is the space complexity of breadth-first search?

    Nov 9, 2020 · When using the breadth-first search algorithm, is the space complexity $O (b^d)$, where $b$ is the branching factor and $d$ the length of the optimal path (assuming ...

  9. reinforcement learning - Is Clipping Necessary for PPO? - Artificial ...

    Nov 24, 2025 · I believe I have a decent understanding of PPO, but I also feel that it could be stated in a simpler, more intuitive way that does not involve the clipping function. That makes me wonder if there is

  10. Newest 'a-star' Questions - Artificial Intelligence Stack Exchange

    Nov 5, 2024 · For questions related to the A* (or A) search algorithm, which is a very famous state-space search algorithm and widely taught in Computer Science and Artificial Intelligence. A* is a best …