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Curious about how machines can learn to make decisions through trial and error? Join us for an engaging session with Omar Oseguera, where we’ll explore the fundamentals of Reinforcement Learning (RL)—one of the core areas of machine learning powering breakthroughs in robotics, game-playing AI, and autonomous systems.

This beginner-friendly talk will cover:

  • What reinforcement learning is and how it differs from supervised and unsupervised learning
  • Key concepts such as agents, environments, states, actions, and rewards
  • Real-world applications of RL in technology and industry

Whether you’re a student, a professional exploring AI, or just curious about the future of intelligent systems, this meetup will give you a clear and approachable introduction to RL. No prior machine learning experience required!

https://www.linkedin.com/in/omaros92/

Artificial Intelligence Applications
Deep Reinforcement Learning
Machine Learning
Data Science

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