Introduction

AI Agent Project Camp is a hands-on program where students explore Reinforcement Learning (RL) to build their very own intelligent agent.


Why Join?

  • Future-Ready Skills: Get a early start in Artificial Intelligence, one of today’s fastest-growing tech fields.
  • Hands-On Learning: Students use Python to create a maze-solving AI Agent, exploring Reinforcement Learning concepts like Q-Learning.
  • Fun & Engaging: Through interactive coding sessions, parameter tweaks, and real-time feedback, kids stay motivated as they see their AI “learn.”
  • Confidence & Creativity: Each student presents their finished project, boosting problem-solving skills and nurturing innovative thinking.


Who Is It For?

  • Students who have completed Python with AI level 4 or equivalent experience.
  • Perfect for those curious about how AI can power real-world applications—from game AI to self-driving technology.


What They’ll Learn

  • Introduction to Reinforcement Learning
  • RL Theory and Q-Learning Fundamentals
  • Exploration vs. Exploitation Strategies
  • Building a Maze Environment
  • Applying Q-Learning to Maze Solving
  • Algorithm Optimization and Parameter Tuning
  • Advanced Extensions and Creative Enhancements
  • Project Development and Refinement
  • Final Presentation and Reflection


Expert Guidance

Mr. Rhea has extensive expertise in artificial intelligence, astronomy, and Python software development. He has participated in NASA projects at the Harvard-Smithsonian Center for Astrophysics. Mr. Rhea has published numerous papers on the application of artificial intelligence in the field of astronomy, researched the galaxy cluster SpARCS 1049+56, and developed Python software packages for astronomical applications.


A Lasting Impact

This unforgettable experience will encourage young minds to consider the limitless potential of technology and its ability to shape the future.

Don't miss this unique opportunity to learn from an expert in the field and explore the thrilling potential of artificial intelligence.


Schedule

From Aug 11-31, totalling 20 hours.

  • Mondays, Wednesdays, and Fridays (9:30–11:30).
  • Final presentation and camp wrap-up on August 31 (Sunday).