Masterclass Certificate in Reinforcement Learning Principles: Efficiency

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The Masterclass Certificate in Reinforcement Learning Principles: Efficiency is a comprehensive course that focuses on the principles and applications of reinforcement learning. This field is rapidly growing, with significant demand in industries such as gaming, robotics, and autonomous vehicles.

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The course equips learners with essential skills in reinforcement learning, including designing and implementing efficient algorithms, using machine learning libraries, and applying reinforcement learning techniques to real-world problems. Learners will also gain experience in data analysis, model selection, and experiment design. Upon completion, learners will have a thorough understanding of reinforcement learning concepts and their practical applications, making them highly valuable in various industries. This course is an excellent opportunity for professionals looking to advance their careers in machine learning, artificial intelligence, and data science.

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โ€ข Introduction to Reinforcement Learning
โ€ข Markov Decision Processes (MDPs)
โ€ข Q-Learning and Q-Table Algorithms
โ€ข Deep Q Networks (DQNs) and Deep Reinforcement Learning
โ€ข Policy Gradients and REINFORCE Algorithm
โ€ข Actor-Critic Methods
โ€ข Advanced Topics: Monte Carlo Tree Search and AlphaGo
โ€ข Applications of Reinforcement Learning: Recommendation Systems, Robotics, and Control Theory
โ€ข Evaluation Metrics and Hyperparameter Tuning in Reinforcement Learning
โ€ข Real-World Challenges in Reinforcement Learning: Exploration vs. Exploitation, Credit Assignment, and Partial Observability

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  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
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FastTrack GBP £140
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  • ThreeFourHoursPerWeek
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StandardMode GBP £90
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  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
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MASTERCLASS CERTIFICATE IN REINFORCEMENT LEARNING PRINCIPLES: EFFICIENCY
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London College of Foreign Trade (LCFT)
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05 May 2025
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