Past Event! Note: this event has already taken place.
Reinforcement Learning for Board Games, an Introduction (Decisive AI Inc.)
September 11, 2018 at 1:30 PM to 3:30 PM
| Location: | 5345 Herzberg Laboratories |
| Cost: | Free |
| Audience: | Anyone |
| Key Contact: | Kathryn Elliott |
| Contact Email: | kathryn.elliott@carleton.ca |
| Contact Phone: | 613-520-2600 x3244 |
How can you create an agent that plays games?
Using reinforcement learning, an agent can learn how to win by training against itself, rather than being told how to win by a programmer. In this seminar, we are going to cover the basics of reinforcement learning and how it was applied to create an expert player of a board game. We’ll show you what we’ve learnt, the challenges, solutions, and results of a year of research.
About the Speaker
Emiliano Conde – President & Founder of Decisive Artificial Intelligence Inc.
Emiliano is a natural programmer, and has been writing code since the age of 10. By the time he finished high school, he had found a job at IBM writing code in Assembly and C. After turning twenty, he led a group of friends to develop a Real Time Strategy (RTS) game in his native Argentina. Following a year of effort, the game “Regnum” was published in 1995 and sold well in its local market.
Emigrating to Canada in 1999, Emiliano held various software engineering jobs, including working for the global bank HSBC as a software architect, before starting his own software company: jBilling.
Starting alone and with no capital, he grew jBilling to over 100 employees. Founding and growing a company required much more than good programming skills, including leadership, sales, marketing, finance, legal, contract negotiation, B2B pricing, and recruiting. Emiliano sold jBilling to San Francisco-based company AppDirect in 2012 and was a part of the AppDirect leadership team for 4 years.
In 2016, Emiliano started Decisive Artificial Intelligence. This new venture combines his passion for games, software engineering, and research in AI.
SPACE IS LIMITED.
Please arrive 5-10 minutes early to check in at the registration desk, grab coffee or a snack and get seated. See our Seminar FAQ for more information.
Registration is now closed due to high demand.
Please note that photos or video may be taken at the event which may later be used in print and online media produced by the Carleton University Institute for Data Science. For any questions or concerns, please contact Kathryn Elliott (kathryn.elliott@carleton.ca).