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Time-bounded best-first search for reversible and non-reversible search graphs
(AI Access Foundation, 2016-08)
Time-Bounded A* is a real-time, single-agent, deterministic search algorithm that expands
states of a graph in the same order as A* does, but that unlike A* interleaves search and action exe cution. Known to outperform ...
Incorporating weights into real-time heuristic search
(Elsevier, 2015)
Incorporating weights into real-time heuristic search
(Elsevier, 2015)
Time-Bounded Best-First Search for Reversible and Non-reversible Search Graphs
(2016)
Time-Bounded A* is a real-time, single-agent, deterministic search algorithm that expands states of a graph in the same order as A* does, but that unlike A* interleaves search and action execution. Known to outperform ...
A new algorithm for time series prediction using machine learning models
Two stage grid search accepted as a promising heuristic search technique, involves a search performed in two stages. In the first stage a search is performed in coarse grain/low resolution to identify the optimal region ...
Real time search with linear temporal goals
(2023)
In Real-Time Heuristic Search (RTHS) we are given a search graph G, a heuristic, and an objective, which is to find a path from a start node to a given goal node in G. As such, one does not impose any trajectory constraints ...
Escaping Heuristic Hollows in Real-Time Search without Learning
(IEEE, 2010)
Real-time search is a standard approach to solving search problems in which agents have limited sensing capabilities and must act quickly. It is well known that real-time search algorithms like LRTA* and RTA* perform poorly ...
Avoiding and Escaping Depressions in Real-Time Heuristic Search
(AI ACCESS FOUNDATION, 2012)
Heuristics used for solving hard real-time search problems have regions with depressions. Such regions are bounded areas of the search space in which the heuristic function is inaccurate compared to the actual cost to reach ...
Avoiding and escaping depressions in real-time heuristic search
(Journal OF Artificial Intelligence Research, 2015)