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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⢠Introduction to Reinforcement Learning: definitions, history, and applications
⢠Markov Decision Processes (MDPs) and Dynamic Programming
⢠Temporal Difference (TD) Learning and Q-Learning
⢠Policy Gradients and Actor-Critic Methods
⢠Deep Reinforcement Learning: Deep Q-Networks (DQNs) and Double DQNs
⢠Monte Carlo Tree Search (MCTS) and AlphaGo
⢠Exploration vs. Exploitation in RL: Upper Confidence Bound (UCB), Thompson Sampling
⢠Reinforcement Learning in Continuous Spaces
⢠Case Studies in Reinforcement Learning: Autonomous Driving, Robotics, and Games
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