Certificate in Reinforcement Learning Fundamentals: Actionable Knowledge
-- ViewingNowThe Certificate in Reinforcement Learning Fundamentals: Actionable Knowledge is a comprehensive course that empowers learners with the essential skills needed to excel in reinforcement learning. This field is rapidly growing, with significant industry demand for professionals who can design and implement intelligent systems that make data-driven decisions.
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โข Introduction to Reinforcement Learning: definitions, history, and applications
โข Markov Decision Processes (MDPs) and Dynamic Programming
โข Temporal Difference (TD) Learning and Q-Learning
โข Policy Gradients and Actor-Critic Methods
โข Deep Reinforcement Learning: Deep Q-Networks (DQNs) and Double DQNs
โข Monte Carlo Tree Search (MCTS) and AlphaGo
โข Exploration vs. Exploitation in RL: Upper Confidence Bound (UCB), Thompson Sampling
โข Reinforcement Learning in Continuous Spaces
โข Case Studies in Reinforcement Learning: Autonomous Driving, Robotics, and Games
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