Undergraduate Certificate in Reinforced Learning
-- ViewingNowThe Undergraduate Certificate in Reinforced Learning is a compact, industry-focused program that equips learners with essential skills in one of the most in-demand areas of Artificial Intelligence. With a hands-on approach, this course covers the fundamentals of reinforcement learning, including Markov Decision Processes, Temporal Difference Learning, and Monte Carlo methods.
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โข Introduction to Reinforcement Learning
โข Markov Decision Processes (MDPs)
โข Temporal Difference (TD) Learning
โข Q-Learning and State-Action-Reward-State-Transition (SARSA)
โข Deep Reinforcement Learning
โข Reinforcement Learning Algorithms
โข Exploration vs Exploitation in RL
โข Applications of Reinforcement Learning
โข Multi-Agent Reinforcement Learning
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