Cover Image for Reinforcement Learning: Sim-to-Real Part I

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Reinforcement Learning: Sim-to-Real Part I

Name: Reinforcement Learning: Sim-to-Real Part I
Start: 2026-04-30T18:00:00.000+02:00
End: 2026-04-30T21:00:00.000+02:00
Location: Vaskerelven 8

YoungAI

Vaskerelven 8

Bergen, Norway

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About Event

Hello YoungAI friends! We're running a two-part workshop on sim-to-real reinforcement learning. The goal: train agents in simulation, then deploy them on a real self-driving RC car. This is part 1, where we build the foundations.

You'll implement PPO (Proximal Policy Optimization) from scratch and train agents in simulated environments. Everything you build here carries directly into part 2, where we deploy on a physical PiRacer Pro.

No RL experience needed, just bring your Python skills and a laptop.

Program:

Mingling & snacks
Intro to reinforcement learning
Implement PPO (or use Stable-Baselines3 if you prefer)
Train your agent on MountainCar and CartPole
CarRacing challenge, who gets the fastest lap?
Wrap-up & teaser for part 2

You need:

Laptop with Python
An editor you like (VS Code is great)

Setup instructions will be shared before the event so we can jump straight into coding.

This is part 1 of 2. You can attend part 1 without committing to part 2, but we recommend both!

Big thanks to Visito for sponsoring the workshop and providing the PiRacer Pro we'll be deploying on in part 2.

This event is mainly for our members, but if you're new, you're welcome to join one meetup for free. Interested in becoming a member? Check out our website: https://www.youngai.no.

Location