— این کانال جهت تبادل هر چه بهتر اطلاعات و اشتراک دانش در حوزه نرمافزار #متلب ایجاد شده است.
— گپ:@MATLABHOUSE
— آموزشها و پروژههای تکمیلی در justeducation.ir قرار خواهد گرفت.
Reinforcement Learning in Gridworld: Solving the Windy Grid Problem
Watch this video showcasing the implementation of a reinforcement learning algorithm in solving the Windy Grid Problem. The algorithm uses Q-learning with epsilon-greedy exploration to navigate a gridworld with varying wind powers. Learn how the agent learns to reach the goal by optimizing its actions based on rewards and Q-values. The video includes visualizations of the grid, wind powers, and the agent's path.
Comparative Analysis of Bandit Algorithms for Optimal Decision-Making
Explore a comprehensive comparative analysis of various bandit algorithms used in reinforcement learning for optimal decision-making. This video showcases the implementation and evaluation of different methods such as Greedy, Epsilon-Greedy, UCB, and more, highlighting their strengths and performance in selecting optimal actions. Gain insights into the trade-off between exploration and exploitation strategies and learn how these algorithms can enhance decision-making systems. Join us for a deep dive into the world of bandit algorithms and their applications.