Certificate in Reinforcement Learning for Connected Systems
-- ViewingNowThe Certificate in Reinforcement Learning for Connected Systems is a comprehensive course designed to equip learners with essential skills in reinforcement learning, a critical area of artificial intelligence. This course is vital in today's data-driven world, where connected systems generate massive amounts of data that can be harnessed to make informed decisions and optimize system performance.
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โข <strong>Introduction to Reinforcement Learning</strong>
โข Basics of Connected Systems
โข Markov Decision Processes (MDPs) in Reinforcement Learning
โข Q-Learning and Deep Q-Networks (DQNs)
โข Policy Gradients and Actor-Critic Methods
โข Reinforcement Learning for Control in Connected Systems
โข Multi-Agent Reinforcement Learning for Connected Systems
โข Applications of Reinforcement Learning in Connected Systems
โข Evaluation and Optimization of Reinforcement Learning Algorithms in Connected Systems
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