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Description:
Join us for deep dive tech talks on AI/ML and networking with fellow enthusiasts.
Agenda:
- 6:30pm~6:45pm: Intro/Overview
- 6:45pm~7:45pm: Scheduled talk
- 7:45pm-8:30pm: Open discussion & Mixer
Tech Talk: (R)ewards and (L)earning: An Introduction to Reinforcement Learning
Speaker: Peter Cetner
Abstract: We'll explore the core ideas behind reinforcement learning - how agents learn to make decisions through trial and error. Starting with the basics and working up to real-world applications, we'll cover key concepts like exploration vs. exploitation, Markov Decision Processes, discounted rewards, and optimal policies, all with the focus on intuition as opposed to the rigorous math.
Who Should Attend:
Anyone intrigued or interested in AI, its usage, and its impacts on society. Beginners are welcome (we are all beginners at some point!).
