Faster and Simpler Algorithm for Optimal Strategies of Blotto Game
Authors: Soheil Behnezhad, Sina Dehghani, Mahsa Derakhshan, MohammadTaghi Hajiaghayi, Saeed Seddighin
AAAI 2017 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We implemented our algorithm using Simplex method on a dual-core processor machine an 8GB memory. Using this fast implementation, we are able to run the code for different cases. Here we provide our observations that mostly confirm the theoretical predictions. |
| Researcher Affiliation | Academia | Department of Computer Science, University of Maryland {soheil, dehghani, mahsaa, hajiagha, sseddigh}@cs.umd.edu |
| Pseudocode | No | The paper describes methods conceptually and through LP formulations, but does not provide structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper states "We implemented our algorithm" but does not provide a link to open-source code or explicitly state its release. |
| Open Datasets | No | The paper describes experiments based on the Colonel Blotto game model and its variants, not on an external publicly available dataset with concrete access information. |
| Dataset Splits | No | The paper does not mention training, validation, or test dataset splits. |
| Hardware Specification | Yes | We implemented our algorithm using Simplex method on a dual-core processor machine an 8GB memory. |
| Software Dependencies | No | The paper mentions using "Simplex method" but does not provide specific version numbers for the software or libraries used. |
| Experiment Setup | No | The paper discusses observations from the implemented algorithm but does not provide specific details such as hyperparameters or training configurations for the experimental setup. |