SAI Workshop: Introduction to Reinforcement Learning
Introduction to Reinforcement Learning, a workshop led by Brandon Da Silva, Founder and CTO of ArenaX Labs - the developers of SAI.
About Brandon:
Brandon Da Silva is the Founder & CTO of ArenaX Labs. Before ArenaX, he built ML algorithms in finance to optimize multi-million-dollar portfolios. At ArenaX he leads all development activities, with a focus on reinforcement learning. With a passion for intellectual curiosity and accessible learning, Brandon is committed to creating educational opportunities through practical workshops and mentorship, so you couldn't be in better hands for your Introduction to Reinforcement Learning!
About the Workshop:
Intro to Reinforcement Learning: Build & Submit with SAI (90 min)
This workshop gives an applied overview of core RL concepts and then walks end-to-end through a live demo using a ready-made SAI environment (states, actions, and rewards are pre-defined). We’ll map the RL loop, explain how rewards drive behavior, and touch on common pitfalls. In the hands-on section, we’ll train a model and submit it to the SAI leaderboard.
You’ll learn
The core RL loop (observe → act → reward → update) and how it fits together
Reward shaping basics—and why it’s important
How to track and interpret training results to know if learning is on track
How to package and submit your model to SAI
Hands-on takeaways
A working baseline submission on SAI, reproducible starter code and a certificate of completion.
Prerequisites
Open to anyone comfortable with Python. No prior RL experience required.
Logistics
Duration: 90 minutes
Format: live demo, Q&A and guided support through submitting your first model
Bring: laptop