Home AI Courses Reinforcement Learning Specialization

Reinforcement Learning Specialization

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Gain a comprehensive understanding of the principles of reinforcement learning. Develop a comprehensive RL solution and comprehend the application of AI tools to address real-world issues.

Key AI Functions:Function Approximation,Artificial Intelligence (AI),Reinforcement Learning,Machine Learning,Intelligent Systems

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Description for Reinforcement Learning Specialization

Develop a sequential decision-making system that utilizes reinforcement learning.

Comprehend the range of RL algorithms, including Temporal-Difference Learning, Monte Carlo, Sarsa, Q-learning, Policy Gradients, Dyna, and others.

Comprehend the process of formalizing your task as a Reinforcement Learning problem and the steps necessary to initiate the implementation of a solution.

Comprehend the role of RL within the broader context of machine learning and its relationship to deep learning, supervised and unsupervised learning.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by University of Alberta & Alberta Machine Intelligence Institute

Duration: 2 months at 10 hours a week

Schedule: Flexible

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