Global Certificate in Reinforcement Learning Feedback Loop Strategies
-- ViewingNowThe Global Certificate in Reinforcement Learning Feedback Loop Strategies is a comprehensive course that equips learners with essential skills in reinforcement learning, a subfield of artificial intelligence. This course emphasizes the importance of feedback loops in decision-making processes, enabling learners to develop intelligent systems that make data-driven decisions.
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โข Fundamentals of Reinforcement Learning
โข Markov Decision Processes (MDPs)
โข Q-Learning and Q-Table Algorithms
โข Policy Gradients and Actor-Critic Methods
โข Deep Reinforcement Learning
โข Exploration vs Exploitation Strategies
โข Function Approximation for RL
โข Multi-Agent Reinforcement Learning
โข Real-world Applications of RL Feedback Loop Strategies
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