English | Size: 4.61 GB
Genre: eLearning
Explore the fascinating intersection of artificial intelligence (AI) and adaptive learning systems in this intermediate program. Learn to construct a complete Reinforcement Learning (RL) solution from scratch and gain understanding on how RL fits under the broader scope of machine learning, equipping yourself to apply AI tools to solve real-world problems.
What you’ll learn
Build a Reinforcement Learning system for sequential decision making.
Understand the space of RL algorithms (Temporal- Difference learning, Monte Carlo, Sarsa, Q-learning, Policy Gradients, Dyna, and more).
Understand how to formalize your task as a Reinforcement Learning problem, and how to begin implementing a solution.
Understand how RL fits under the broader umbrella of machine learning, and how it complements deep learning, supervised and unsupervised learning
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