Battleship game algorithm. The RL agent's policy was trained using .

Battleship game algorithm. The RL agent's policy was trained using Sep 29, 2024 · This algorithm presents an algorithmic version of varying difficulties and features of the game Battleship, which provides insight in the way in which people approach strategy and cognitive thinking. This repository provides an implementation of the Battleship board game with interactive and debugging features, an implementation of trivial AI agents (brute force, random search), and an implementation of reinforcement learning to build an agent to effectively play Battleship. This article explores the evolution and application of these technologies in mastering Battleships, offering insights into the integration of AI in-game strategy. The below graph summarizes the results, and highlight that this new probabilistic algorithm greatly outperforms the simpler approaches. Sep 2, 2021 · As a child, I spent many hours playing Battleship against my Mom or brother to pass the time. Jul 23, 2025 · Battleships, a popular game of naval strategy, have long been a testbed for developing sophisticated algorithmic and AI approaches. Battleship is a classic game of incomplete information that involves placing ships of different lengths A simplified version of the children’s game Battleship leads to numerous nontrivial questions and algorithms that we had a lot of fun to work on. . We worked on the digital version of the problem, which is directly connected to the actual game. This version of Battleship only considers a single player's viewpoint. com Jan 21, 2019 · Nick simulated 100 million games of Battleship for this probabilistic apporach as well as the prior algorithms. See full list on towardsdatascience. txggkav dplmfdh kqxmljc hag ndtwtl kcyxk guzx vvlcev zuuz hmrj