Eine Einfuehrung in JavaFX mit Dokumentationen
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Updated
Apr 18, 2018 - Java
Eine Einfuehrung in JavaFX mit Dokumentationen
Geschäftsordnung des Elternbeirats am Schickhardt-Gymnasium in Herrenberg
Gymnasium environment for semiconductor manufacturing simulation 🏭
Solving RL appliance on different gymnasium enviroments, with different learning methodologies
ReactJS-based solution that enables users to effortlessly search and explore a diverse range of exercises with detailed individual views for each one.
A reinforcement learning environment for the 2048 game based on Gymnasium.
Solving Taxi-v3 problem of python Gym library.
This is my first web homepage for a gym based website, I welcome and appreciate all the opinions on my project.
Stable Baselines3
I utilized the A3C (Asynchronous Advantage Actor-Critic) algorithm to train a Deep Q-Learning (DQN) model, specifically tailored to solve the Kungfu gym environment.
Reinforcement Learning for Unmanned Airial Vehicles
Ο Ανοικτός Μαθησιακός Πόρος (OER) αφορά στην διευκόλυνση της διδασκαλίας της Γαλλικής Γλώσσας στο Δημοτικό και το Γυμνάσιο. Πρόκειται για μια δραστηριότητα πολλαπλών επιλογών στη οποία οι μαθητές/τριες καλούνται να επιλέξουν τη σωστή απάντηση σε ερωτήσεις σχετικές με την επικοινωνία μεταξύ εκπαιδευτικού και μαθητών στην τάξη.
A Python program to play the first level of Donkey Kong Country (SNES, 1996), Jungle Hijinks, using the genetic algorithm NEAT (NeuroEvolution of Augmenting Topologies) and Gymnasium, a maintained fork of OpenAI's Gym.
In this project, I implemented the Gymnasium library to using the environment of the Blackjack. For the training purpose, I used the Greedy Policy to learn the policy to take accurate action as much possible to win the game.
A place to store the exercies and code snippets for my RL fundamentals guide found on Medium.
The game of Yaniv implemented as a Gymnasium environment to be used for Reinforcement Learning.
This environment is a modification of the CliffWalking Toy Text environments from Gymnasium. Monster cliff walking involves crossing a gridworld from start to goal while avoiding falling off a cliff and meeting a Monster
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