Advanced AI: Deep Reinforcement Learning in Python

The Complete Guide to Mastering Artificial Intelligence using Deep Learning and Neural Networks

Created by: Lazy Programmer Team
Artificial Intelligence and Machine Learning Engineer

Created by: Lazy Programmer Inc.
Artificial intelligence and machine learning engineer

What Will I Learn?

• Build various deep learning agents (including DQN and A3C)
• Apply a variety of advanced reinforcement learning algorithms to any problem
• Q-Learning with Deep Neural Networks
• Policy Gradient Methods with Neural Networks
• Reinforcement Learning with RBF Networks
• Use Convolutional Neural Networks with Deep Q-Learning
• Understand important foundations for OpenAI ChatGPT, GPT-4

Requirements

• Know reinforcement learning basics, MDPs, Dynamic Programming, Monte Carlo, TD Learning
• College-level math is helpful
• Experience building machine learning models in Python and Numpy
• Know how to build ANNs and CNNs using Theano or Tensorflow

Target audience

• Professionals and students with strong technical backgrounds who wish to learn state-of-the-art AI techniques