Multi-Directional Heuristic Search
Authors: Dor Atzmon, Jiaoyang Li, Ariel Felner, Eliran Nachmani, Shahaf Shperberg, Nathan Sturtevant, Sven Koenig
IJCAI 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiments demonstrate the beneļ¬ts of MM*. We experimented with MM* on an Intel R Xeon E5-2660 v4 @2.00GHz processor with 16GB of RAM. |
| Researcher Affiliation | Academia | 1Ben-Gurion University 2University of Southern California 3University of Alberta |
| Pseudocode | Yes | Algorithm 1: The MM* Algorithm |
| Open Source Code | No | The paper does not provide any explicit statement about making the source code available or include a link to a code repository. |
| Open Datasets | Yes | Finally, we experimented on the 768x768 Enigma grid (presented in Figure 2(a)) from the Starcraft video game, available in the movingai repository [Sturtevant, 2012]. |
| Dataset Splits | No | The paper describes experiments on randomly generated grid instances and a specific benchmark grid, but it does not specify any training, validation, or test dataset splits. |
| Hardware Specification | Yes | We experimented with MM* on an Intel R Xeon E5-2660 v4 @2.00GHz processor with 16GB of RAM. |
| Software Dependencies | No | The paper does not provide specific software dependencies with version numbers (e.g., programming language, libraries, or solvers). |
| Experiment Setup | Yes | The number of dimensions D for h3 was always set to 10, as suggested by Li et al. [2019]. |