Certificate in Reinforcement Learning Fundamentals
-- ViewingNowThe Certificate in Reinforcement Learning Fundamentals is a comprehensive course that equips learners with essential skills in reinforcement learning (RL), a powerful AI technique for making sequences of decisions. With a focus on practical applications, this course covers the basics of RL, including Markov Decision Processes, Temporal Difference Learning, and Monte Carlo Tree Search.
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โข Introduction to Reinforcement Learning
โข Markov Decision Processes (MDPs)
โข Q-Learning and State-Action Reward Tables
โข Deep Q Networks (DQNs)
โข Policy Gradients
โข Actor-Critic Methods
โข Monte Carlo Tree Search (MCTS)
โข Reinforcement Learning Applications and Case Studies
โข Evaluation and Comparison of Reinforcement Learning Algorithms
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
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- ThreeFourHoursPerWeek
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