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sesiuni:basics-of-reinforcement-learning [2018/08/14 20:02] amacovei [Overview] |
sesiuni:basics-of-reinforcement-learning [2018/08/15 15:43] amacovei [Format and Curriculum] |
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== Basics of Reinforcement Learning == | == Basics of Reinforcement Learning == | ||
- | Mentor: Ioana Veronica Chelu, [[ioana.chelu28@gmail.com|email]]. | + | Mentor: Ioana Veronica Chelu\\ |
+ | [[ioana.chelu28@gmail.com|ioana.chelu28@gmail.com]] | ||
== Overview == | == Overview == | ||
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- How to scale this framework to high-dimensional input and output spaces, making it more similar to how animals learn. | - How to scale this framework to high-dimensional input and output spaces, making it more similar to how animals learn. | ||
- Interact with a deep learning framework for function approximation and apply this to the same task of learning from trial and error behavior. | - Interact with a deep learning framework for function approximation and apply this to the same task of learning from trial and error behavior. | ||
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+ | == Format and Curriculum == | ||
+ | The workshop will be held on 28, 30 and 31 August, at 9:00 AM. | ||
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== Tutorials == | == Tutorials == |