Clear your calendar - Huang is going to teach you Reinforcement Learning techniques in the Unity game engine sandbox. This workshop comes as a part of AIAAF 2021 and you will get basics in RL and ML-agents, virtual robotic and volumetric design. The workshop will be held always on Friday afternoon (MET) and the number of the participants is limited to 20. The cost for the whole workshop is 50€.

Key Words: machine learning, coding, robotics, generative design, C#, python
Required Skills: Basic programming knowledge, 3d modelling, intermediate Rhinoceros, basic grasshopper, basic Unity 3D
Required Software: Unity 3D, Anaconda, Rhinoceros, Visual Studio code
Workshop Type: Tutorial

Nowadays, with the advancement of new techniques and tools in artificial intelligence (AI), considerable research is being conducted in the architectural design and build industry. Plugin packages such as RunwayML for web-based platforms, ML-Agents kit for Unity, and Owl for Grasshopper allow designers to utilize computational power for computational design and modeling. Reinforcement learning (RL), a subcategory of ML, is also increasingly being explored in the design industry due to its interactive characteristic. RL, as defined by Howley and Mousavi (2018), ‘involve[s] the strategy of learning via interacting (sequences of actions, observations, and rewards) with the environment’ (p. 426). In this workshop, we will use state-of-the-art techniques in Unity to generate methodologies for volumetric design and simulation of virtual machines to explore alternative methodologies for designing and building. We will explore the methods and meaning of RL in design practices. How do computational models can be developed to understand and finding methodologies? How can a machine think creatively? What are the machine-made elements that become unperceivable from a human? These questions approach the goals of AI proponents concerning the new generation of AI that would help designers through the novel augmentation of machine vision and automation.