AIJun 29, 2018

AI in Game Playing: Sokoban Solver

arXiv:1807.00049v1
Originality Synthesis-oriented
AI Analysis

This is an incremental application of existing AI methods to a specific game domain, with no broader impact mentioned.

The project tackled solving the Sokoban game by developing an AI agent using various algorithms and heuristics, and compared their performances through standard metrics, but no concrete results or numbers were provided.

Artificial Intelligence is becoming instrumental in a variety of applications. Games serve as a good breeding ground for trying and testing these algorithms in a sandbox with simpler constraints in comparison to real life. In this project, we aim to develop an AI agent that can solve the classical Japanese game of Sokoban using various algorithms and heuristics and compare their performances through standard metrics.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes