Malgukke Computing University
Providing top-tier educational courses and materials for computing professionals and enthusiasts.
License and Access Information
Our courses are available free of charge to educational institutions and are intended for non-commercial purposes only.
Content is protected by copyright and should only be used for educational purposes.
OpenAI Gym Courses
Dive deep into specific environments of the OpenAI Gym, exploring a variety of challenges and tasks designed for reinforcement learning. Master different strategies to conquer each simulation.
FrozenLake Environment
Navigate across a slippery frozen lake using reinforcement learning strategies without falling into holes. Balance exploration and exploitation to reach the goal safely.
Acrobot Environment
Control a two-link pendulum (Acrobot) to swing up and reach a designated height. Learn how to apply control theory and reinforcement learning in this classic environment.
Mountain Car Environment
Help a car climb up a steep hill using momentum. This problem teaches the importance of planning and action strategies to overcome obstacles in reinforcement learning.
Tic Tac Toe Environment
Develop an AI agent that can play and master the classic game of Tic Tac Toe using Q-Learning and other reinforcement learning strategies.
Maze Environment
Guide an agent through a complex maze using reinforcement learning techniques such as Q-Learning, SARSA, and Deep Q-Networks.