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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 == | ||
| Line 14: | Line 15: | ||
| - 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. | ||
| + | |||
| + | == Format and Curriculum == | ||
| + | The workshop will be held on 28, 30 and 31 August, at 9:00 AM. | ||
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| == Tutorials == | == Tutorials == | ||