Minesweeper Agent Kit Devpost An advanced multi agent ai system that collaboratively solves minesweeper puzzles using google's agent development kit (adk). this project demonstrates the power of agent orchestration, where specialized ai agents work together to tackle complex problem solving tasks. My agent was trained using neural networks of different sizes for a variable number of games (i.e. episodes). it appears that conv128x4 dense512x2 was able to learn the fastest hence i chose to go with this model.
Minesweeper Devpost An advanced multi agent ai system that collaboratively solves minesweeper puzzles using google's agent development kit (adk). this project demonstrates the power of agent orchestration, where specialized ai agents work together to tackle complex problem solving tasks. An intelligent agent was implemented in python to solve the minesweeper game, achieving an accuracy of 80% (8x8 boards with 10 mines). the model checking method was optimized using a recursive backtracking algorithm, resulting in an average running time reduction of 79% across 100 games. Our project is a re implementation of a minesweeper agent from “training a minesweeper agent using a convolutional neural network”. an agent was trained to play the game minesweeper through supervised learning with a convolutional neural network. This projects implementes two different approaches to solving the game of minesweeper, using answer set programming and a constraint satisfaction problem (csp) solver.
Minesweeper Game Devpost Our project is a re implementation of a minesweeper agent from “training a minesweeper agent using a convolutional neural network”. an agent was trained to play the game minesweeper through supervised learning with a convolutional neural network. This projects implementes two different approaches to solving the game of minesweeper, using answer set programming and a constraint satisfaction problem (csp) solver. Publishing content (blog post, video, or podcast) covering how the project was built using agent development kit. this content can be published on any public platform such as , medium , substack , dev.to, and others. Minesweeper assistant provides real time hints for google minesweeper, as well as a feature that automatically solves the entire minesweeper in a matter of seconds. Ai agent uses dfs with backtracking to accomplish this task. at this stage, all the possible configurations have found but no boundary tile is safe. we have no choice but to make a guess. fortunately, the configurations we found can help us to make a smart guess. Contribute to maskofdevil minesweeper agent kit development by creating an account on github.
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