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Dante Camarena (Technical Director, Transitional Forms Inc)
Nick Counter (Art Director, Transitional Forms Inc)
Location: Room 2002, West Hall
Date: Monday, March 18
Time: 5:30 pm - 6:30 pm
Pass Type: All Access Pass, Summits Pass - Get your pass now!
Vault Recording: Video
Audience Level: All
Recent developments in Reinforcement Learning (RL) have resulted in near-human ability in competitive games such as Go, StarCraft and Dota 2, at the cost of significant computing power. An often under-looked element of training RL is the satisfaction that researchers and enthusiasts gain while watching their agents evolve and learn.
In this talk, Co-Directors Nick Counter and Dante Camarena present the work done in constructing Little Learning Machines, a game designed to bring the experience of training your own AI to players of any skill level. They show how careful game design and tricky engineering can help create a game that makes training accessible to people without technical knowledge or expensive computers. This presentation is intended to inspire developers to push this idea further.
Attendees to this talk will learn about a case study in Real-Time, player-driven RL in games, something seen rarely in published games. They will hear the case for why RL is a fun mechanic and how to design a game to accommodate it. All while learning essential engineering tricks necessary to incorporate real-time RL into their games.
This talk is useful any game designers and programmers who wish to see character behaviour develop at runtime. It is also valuable to those who are interested in seeing implementations of AI and RL in games.