Advanced AI: Deep Reinforcement Learning in Python
The Complete Guide to Mastering Artificial Intelligence using Deep Learning and Neural Networks
What you’ll learn
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Build various deep learning agents (including DQN and A3C)
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Apply a variety of advanced reinforcement learning algorithms to any problem
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Q-Learning with Deep Neural Networks
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Policy Gradient Methods with Neural Networks
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Reinforcement Learning with RBF Networks
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Use Convolutional Neural Networks with Deep Q-Learning
Requirements
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Know reinforcement learning basics, MDPs, Dynamic Programming, Monte Carlo, TD Learning
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College-level math is helpful
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Experience building machine learning models in Python and Numpy
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Know how to build ANNs and CNNs using Theano or Tensorflow
Who this course is for:
- Professionals and students with strong technical backgrounds who wish to learn state-of-the-art AI techniques
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