Advanced Robotics Centre Seminar: Learning How The Brain Learns
Seminar Details
Speaker | Fred Almeida | |
Date & Time | 19 December, 2018 | |
Venue | NUS Faculty of Engineering, Lecture Theater 7A (LT7A) |
Summary
Fred Almeida is the founder of Ascent Robotics, developing autonomous robotics in Tokyo. He comes from a background in Philosophy, Mathematics and is attending Harvard Business School. He spends his free time mostly on planes reading papers. Please register your attendance at the following link by 4 October 2018: https://goo.gl/forms/3HKuCqVC05i3SJro1 For enquiry, please email: robotics@nus.edu.sg Click here for pdf with more details. Click here for the webcast of the seminar.
Abstract
Artificial intelligence learns as we humans do – by trial and error. Our experiences teach us valuable lessons which can be applied to new situations. Over time the surrounding world starts to make sense to us and we can be entrusted with more demanding tasks like driving a car. For an AI agent, this learning takes place in a simulation but the principles are the same. To build an AI capable of human-level performance, Ascent is bringing the most recent research advancements in the field to market. Technologies we work with include deep reinforcement learning, generative models and transfer learning. We are constantly testing new models and applying the best research to create cutting-edge artificial intelligence. Artificial Intelligence algorithms are not developed in the same way as traditional software. AIs are trained in simulations through trial and error. Behaviour that produces better outcomes for the AI agent is reinforced while adverse choices are discouraged. This is called reinforcement learning. This approach allows the AI to work out for itself which behaviours are most useful to master. We control the learning framework of the simulated environment and let the AI agent determine optimal behaviour models on its own.
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