Workshop on using Unity’s Machine learning agents framework to develop artificial intelligence inside Unity games.

Workshop for attendants at the IGGI Conference 2018. To get a ticket, use the code provided after the registration. Because of the room capacity, the number of attendees at this workshop is limited to 40, so get your ticket to avoid disappointment.

Workshop description

Unity, the most popular game engine, released a framework to develop machine learning algorithms inside their games. In this workshop, we give an introduction to Reinforcement Learning and how Unity integrates it into their engine. This is followed by a practical exercise where the audience is given a small game for which they are asked to complete the implementation of a simple agent. This will involve defining the actions open to the agent, allowing it to train, and then integrate the trained agent into the original game. Attendees should have a basic knowledge of either Unity or reinforcement learning.

Attendee takeaways

• Basic understanding of the mathematical constructs behind reinforcement learning

• How to integrate reinforcement learning into games written inside Unity

• How to train reinforcement learning models with Python for further integration with Unity

Facilitators

Daniel Hernandez and Peter York.

Software requirements

A list of the required Sofware will be available soon.

Find out more about IGGI: http://iggi.org.uk/

Find out more about the conference: http://2018.iggi.org.uk/

The IGGI Conference is sponsored by the EPSRC.