Mindforge ML | Foundations to Intelligence

Unit 1 | Podcast 04 – Reinforcement Learning: Learning Through Rewards and Mistakes


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Welcome to Podcast 04 of Mindforge ML | Foundations to Intelligence,an educational podcast by Chatake Innoworks Pvt. Ltd.,published under the MindforgeAI initiative.

In this episode, we explore a learning method that closely resembles how humansand animals learn from experience:Reinforcement Learning.

Instead of learning from labeled examples, machines in reinforcement learninglearn by interacting with their environment and receiving feedback in the formof rewards or penalties. In this discussion, we cover:

  • The core idea behind reinforcement learning
  • Key concepts such as agent, environment, action, and reward
  • How learning through trial and error leads to better decisions
  • Real-world examples from games, robotics, and autonomous systems

This episode builds an intuitive understanding of how machines improve theirbehavior over time by learning what actions lead to the best outcomes.

Series: Mindforge ML | Foundations to Intelligence
Unit: Unit 1 – Introduction to Machine Learning
Episode: Podcast 04
Produced by: Chatake Innoworks Pvt. Ltd.
Published under: MindforgeAI
Creator: CI Codesmith

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Mindforge ML | Foundations to IntelligenceBy CI Codesmith