Greedy & Epsilon Greedy - Balancing Exploration and Exploitation in Multi arm bandit - Part-2 HINDI

Welcome to the second part of our educational series on multi-arm bandits. In this video, we will thoroughly discuss the concept of policy in multi-arm bandit scenarios. We will explore the greedy algorithm and the epsilon greedy algorithm, which are fundamental approaches in this field.

The greedy algorithm is a simple yet effective strategy that focuses on selecting the option with the highest immediate reward. We will explain how this method works and its advantages and limitations.

In contrast, the epsilon greedy algorithm introduces a level of randomness to the decision-making process. This technique allows for exploration of less favorable options, which can lead to discovering better rewards over time. We will delve into how this algorithm balances exploration and exploitation, making it a valuable tool in various applications.

Throughout this video, we aim to provide a clear understanding of these algorithms and their significance in the context of multi-arm bandits. We will use easy-to-understand examples and illustrations to help clarify these concepts.

Join us as we break down these algorithms step by step, ensuring you gain a comprehensive understanding of their functionality and use cases. Whether you are a beginner or looking to enhance your knowledge in this area, this video will serve as a valuable resource.

We encourage you to watch the entire video and share your thoughts in the comments section. Thank you for being part of our learning journey.

1. Discover the key differences between the greedy algorithm and the epsilon greedy algorithm in multi-arm bandit problems.
2. Learn how the policy in multi-arm bandit works and why it matters for decision-making processes.
3. Uncover the secrets of effective strategies in multi-arm bandit scenarios with clear explanations of essential algorithms.

Chapters:

00:00 - 01:01 - VIDEO INTRO
01:02 - 02:08 - DIFFERENT TYPE OF POLICIES
02:09 - 05:02 - GREEDY ALGORITHM
05:03 - 05:43 - DISADVANTAGE OF GREEDY ALGORITHM
05:44 - 08:33 - OPTIMISTIC GREEDY ALGORITHM
08:34 - 10:25 - EPSILON GREEDY ALGORITHM
10:26 - 11:03 - END

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#MultiArmBanditExplained #PolicyVsAction #RewardsInMAB #ExplorationVsExploitation #MABSeriesPart2 #DataScienceTutorials

Видео Greedy & Epsilon Greedy - Balancing Exploration and Exploitation in Multi arm bandit - Part-2 HINDI канала Rahul Dhawan