

# Event Details

- **Event Name**: Reinforcement Learning – Introduction
- **Event Start and End Date**: Fri, 21 Aug, 2026 at 10:00 am – Fri, 21 Aug, 2026 at 01:00 pm (+02:00)
- **Event Description**: AI Workshop | How Agents Learn by Trial and ErrorAbout this EventMost AI systems learn from existing data. But what if no data exists? And what if even humans don’t yet know how to solve the problem in question?In this beginner-friendly workshop, you will explore how Reinforcement Learning (RL) enables machines to learn from experience through trial and error, guided only by rewards. Hands-on coding exercises will demonstrate how interaction replaces supervision and how feedback drives "intelligent" behaviour — much like learning in animals and humans.You will learn how agents interact with their environment, make decisions, and improve over time. The workshop uses interactive and practical formats to build an intuitive understanding of key RL concepts such as agent–environment interaction, the exploration–exploitation trade-off and the role of reward design.The workshop provides orientation in a field that plays a central role in domains such as robotics, logistics, control tasks and game development.RequirementsBasic knowledge of Python is recommended. No prior experience with Reinforcement Learning is required. This is an introductory workshop and not suited for participants with existing RL knowledge.Please bring a laptop to the workshop.Registration & participationRegistration is binding. If you are unable to attend, please cancel your ticket in good time to allow other participants to take your place.Important InformationPhotographs, audio recordings and films will be made during the event. By participating in the event, you agree that photos, audio and video recordings in which you are recognizable may be published as part of the public relations work of the AI Service Center Berlin-Brandenburg and the HPI.The  is a project of the Federal Ministry of Research, Technology and Space. Its aim is to lower the barriers for using AI in business and society.Are you interested in our free workshops and other events that we offer? Then sign up for our newsletter.
- **Event URL**: https://allevents.in/potsdam/reinforcement-learning-introduction/100001990415877470
- **Event Categories**: workshops, entertainment, it
- **Interested Audience**: 
  - total_interested_count: 0
- **Event Highlights**: 
  - Duration: 3 hours
  - Location: Hasso-Plattner-Institut
  - Languages: English

## Ticket Details

- **Ticket Price Range**: min: 0, max: 0, currency: EUR

## Event venue details

- **city**: Potsdam
- **state**: BB
- **country**: Germany
- **location**: Hasso-Plattner-Institut
- **lat**: 52.3938691
- **long**: 13.1332946
- **full address**: Hasso-Plattner-Institut, Prof.-Dr.-Helmert-Straße 2-3, 14482 Potsdam, Potsdam, Germany

## Event gallery

- **Alt text**: Reinforcement Learning – Introduction
  - **Image URL**: https://cdn-az.allevents.in/events8/banners/78c1864c46c9f64df66376560c6fc93b342eef1891a56fdda6520a4e157deb01-rimg-w1200-h600-dc171217-gmir.jpg?v=1781073566

## FAQs

- **Q**: When and where is Reinforcement Learning - Introduction being held?
  - **A:** Reinforcement Learning - Introduction takes place on Fri, 21 Aug, 2026 at 10:00 am to Fri, 21 Aug, 2026 at 01:00 pm at Hasso-Plattner-Institut, Prof.-Dr.-Helmert-Straße 2-3, 14482 Potsdam, Potsdam, Germany.
- **Q**: Who is organizing Reinforcement Learning - Introduction?
  - **A:** Reinforcement Learning - Introduction is organized by KI-Servicezentrum Berlin-Brandenburg @ HPI.
- **Q**: Who is this event for? Is it right for me?
  - **A:** Reinforcement Learning - Introduction is ideal for curious learners, students, and skill-builders looking to gain hands-on knowledge and practical expertise in a focused, interactive setting. Whether you're a first-time attendee or a longtime enthusiast in Potsdam, this event is thoughtfully curated to deliver a standout experience worth every moment. If Reinforcement Learning - Introduction sounds like your kind of event, don't wait - spots fill up fast.

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