Workshop / Overview

In this workshop, we will introduce the important concepts and methodologies that underpin (deep) Reinforcement Learning, using simple, straightforward examples.
  • What is RL and how is it different from other AI topics?
  • The RL vocabulary: states, actions, rewards and policies
  • Value functions and the Bellman equations
  • Solving an RL problem: Dynamic Programming and Q-learning
  • Scaling up RL: function approximations in deep RL

Workshop / Outcome

Participants will have an intermediate understanding of RL concepts and methodologies that will enable them to access recent literature and apply RL methodologies to similar problems.

Workshop / Difficulty

Beginner level

Workshop / Prerequisites

Track / Co-organizers

Kevin Smeyers

Evolutionary Architect, ToThePoint

Katrien Van Meulder

Evolutionary Architect, ToThePoint

Bram Vandendriessche

Evolutionary Architect, ToThePoint

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