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Cours associés (13)
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EE-618: Theory and Methods for Reinforcement Learning
This course describes theory and methods for decision making under uncertainty under partial feedback.
MGT-644(b): Computational Methods for Doctoral Research in Management
The objective of this course is to introduce doctoral students to computational methods for data-driven empirical research in management.
CS-434: Unsupervised & reinforcement learning in neural networks
Learning is observable in animal and human behavior, but learning is also a topic of computer science. This course links algorithms from machine learning with biological phenomena of synaptic plastic
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