A solo research project which aims to study Machine Learning Agents and how to design games for them. I worked on designing and creating an environment to train these Agents to become co-operative with each other and work towards a common goal.
Game Design & Research: - Adapted to designing for two unique intelligence agents, rather than the human intelligence. - Prioritized the user experience of the AI in the way it interacts with the game, rather than what is considered typical UX. - Designed reward conditions for the agents to receive and train behaviour off. - Tested and iterated on the limitations of how the AI interacts with Unity, translating findings into actionable design. - Conducted "user tests" with the AI, observing interactions and reverse engineering player behaviour. - Created process documentation for both internal and external parties, mockups and findings. - Investigated existing AI and interactions with Unity, designed taking previous experiments into account. - Documented & reported research to supervisor, conducted technical design reviews.