This project explores strategies to play the Minesweeper game effectively by leveraging various Artificial Intelligence algorithms.
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Updated
Jan 24, 2024 - Python
This project explores strategies to play the Minesweeper game effectively by leveraging various Artificial Intelligence algorithms.
This codebase features AI algorithms for smarter gaming experiences. It includes implementations of strategies like Greedy, Minimax, Alpha-Beta Pruning, and Expectimax. These algorithms empower AI agents to make optimal decisions in games, enhancing strategic gameplay.
Let's find decision on your question.This is a python project in which you have to provide your csv file.It will split data into Train Set and Test Set.It will predict decision on Test set and Give you accuracy.
Implementations of various decision-making models in Python
Self-enforcing protocol for collaborative decision-making as a service. For Supybot/Limnoria.
webapp to aid health care professionals in their decision making process
Implementation of the Analytic Hierarchy Process (AHP) decision-making algorithm to provide recommendations for skill areas that align with the preferences of students who will be participating in the Double Track High School Program
This project tests with several simulations the use of a common heuristic for playing and winning the popular game "rock, paper, scissors". In which the machine uses the choice from the previous round to then choose the next round. There are 6 different scenarios with simulations to test the different results.
For files & code related to the EDI study ("Effort, Decision-making, and Interoception").
A simple decision decider for Mac (or to run in Python on any OS)
🌱 Analytic Hierarchy Process (AHP) implementation
Un giocatore di tressette muto incrociato a coppie fisse
🌍💨 Explore the Windy Gridworld! An agent navigates a 10x7 grid facing wind challenges using Q-learning, SARSA, and Expected SARSA to find optimal paths. Visualize learning stability and compare algorithm performance with running averages and zoomed insights. 🚀📊
MBC Master's Thesis: Imagination-based decision-making
Explore the 10-Arm Testbed Simulation! 🎲 Utilize Python to test various ε-greedy strategies in a reinforcement learning environment. Visualize and compare agents' performance as they balance exploration and exploitation. Perfect for learners and enthusiasts! 🚀📊
Assignment at ISAE-Supaero about Multiple Criteria Decision Making.
Python implementation of CASPAR (Cognitive Architecture System Planned and Reactive)
The problem of packing in containers, Decision-making by voting methods
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