Can I read Adaptive Cost Bounds for IDA* Search on EtoBox?
Adaptive Cost Bounds for IDA* Search by Rickz Huang is a document available to read on EtoBox.
What is Adaptive Cost Bounds for IDA* Search about?
The document presents a new approach called iterative-deepening A* search with on-line tree size prediction that aims to improve upon the performance of standard iterative-deepening A* search. The approach uses an incremental model that can be trained on-line to predict the size of the search tree between iterations. This allows it to adaptively choose better cost bounds compared to previous approaches. The incremental model works for domains with real-valued heuristics, can be trained online during search,
- Author
- Rickz Huang
- Language
- EN