The AI solves a maze using Q Learning
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Updated
May 21, 2024 - Python
The AI solves a maze using Q Learning
Replication of Algorithmic collusion in Duopoly and Oligopoly models
Collection of Machine Learning Algorithms
Automated analysis of hyperparameter configurations for n-step Q-Learning reinforcement agents
Implementation of RL in the cloud for energy minimization due to migration and excess power consumption.
Créer un jeu vidéo (Pong) avec Python et Machine Learning | Pygame | Q-learnning | Apprentissage supervisé
Candy crush with ML models solvers and companions.
Trading Bot using Double Deep Reinfocement Learning
The following project concerns the development of an intelligent agent for the famous game produced by Nintendo Super Mario Bros. More in detail: the goal of this project was to design, implement and train an agent with the Q-learning reinforcement learning algorithm.
Dieses Projekt implementiert ein Q-Learning-Modell in C#. Es trainiert ein Modell basierend auf definierten Zuständen und Aktionen und speichert die Belohnungen pro Episode in einer JSON-Datei. Zusätzlich wird ein Python-Skript verwendet, um die Ergebnisse zu visualisieren.
Playable Tic Tac Toe game against AI Q-Learning agent.
A collection of ai algorithms
强化学习算法库,包含了目前主流的强化学习算法(Value based and Policy based)的代码,代码都经过调试并可以运行
This repository provides implementations of a Q-learning agent to balance a pole on a cart.
path planning using Q learning algorithm
This is using the UC Berkeley codebase for the PacMan AI project. This project utilizes search algorithms for artificial intelligence agents, and utilizes reinforcement learning.
Repository for most of the code from my YouTube channel
Deep Q Learning is used to learn trajectory
Introduction to Reinforcement Learning: Slides and code
Implementing a game environment and Q-learner for Connect Four
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