Add to ORKGReal-time heuristic search algorithms that precompute search space-specific databases have demonstrated exceptional performance in video-game pathfinding. We discuss the first steps towards extending these algorithms to other search spaces that also benefit from the real-time property. We present our initial progress in characterizing the performance of current algorithms based on the features of a search space, and discuss future directions of this research
Search has been vital to artificial intelligence from the very beginning as a core technique in prob...
For problems such as pathfinding in video games and robotics, a search algorithm must be real-time (...
In this report, we investigate the in uence of domain properties on the perfor-mance of real-time se...
Abstract—Recent real-time heuristic search algorithms have demonstrated outstanding performance in v...
Abstract. Real-time heuristic search algorithms are useful when the amount of time or memory resourc...
In real-time domains such as video games, a planning algo- rithm has a strictly bounded time before ...
In real-time domains such as video games, a planning algo-rithm has a strictly bounded time before i...
Real-time heuristic search is a standard approach to pathfind-ing when agents are required to make d...
Real-time heuristic search is a standard approach to pathfind- ing when agents are required to make ...
Large real-time search problems such as path-finding in com-puter games and robotics limit the appli...
Real-time (heuristic) search methods allow for fine-grained control over how much planning to do bet...
Real-time heuristic search algorithms satisfy a constant bound on the amount of planning per action,...
Real-time heuristic search algorithms satisfy a constant bound on the amount of planning per action,...
Real-time heuristic search methods, such as LRTA*, are used by situated agents in applications that ...
Real-time heuristic search is a standard approach to pathfind-ing when agents are required to make d...
Search has been vital to artificial intelligence from the very beginning as a core technique in prob...
For problems such as pathfinding in video games and robotics, a search algorithm must be real-time (...
In this report, we investigate the in uence of domain properties on the perfor-mance of real-time se...
Abstract—Recent real-time heuristic search algorithms have demonstrated outstanding performance in v...
Abstract. Real-time heuristic search algorithms are useful when the amount of time or memory resourc...
In real-time domains such as video games, a planning algo- rithm has a strictly bounded time before ...
In real-time domains such as video games, a planning algo-rithm has a strictly bounded time before i...
Real-time heuristic search is a standard approach to pathfind-ing when agents are required to make d...
Real-time heuristic search is a standard approach to pathfind- ing when agents are required to make ...
Large real-time search problems such as path-finding in com-puter games and robotics limit the appli...
Real-time (heuristic) search methods allow for fine-grained control over how much planning to do bet...
Real-time heuristic search algorithms satisfy a constant bound on the amount of planning per action,...
Real-time heuristic search algorithms satisfy a constant bound on the amount of planning per action,...
Real-time heuristic search methods, such as LRTA*, are used by situated agents in applications that ...
Real-time heuristic search is a standard approach to pathfind-ing when agents are required to make d...
Search has been vital to artificial intelligence from the very beginning as a core technique in prob...
For problems such as pathfinding in video games and robotics, a search algorithm must be real-time (...
In this report, we investigate the in uence of domain properties on the perfor-mance of real-time se...