Global Certificate in Reinforcement Learning for AI
-- ViewingNowThe Global Certificate in Reinforcement Learning for AI is a comprehensive course that focuses on the advanced concept of reinforcement learning, a critical component of AI and machine learning. This certification equips learners with essential skills in modeling, simulation, and decision making required in various industries, including gaming, robotics, finance, and healthcare.
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โข Introduction to Reinforcement Learning – defining RL, its applications, and key concepts.
โข Markov Decision Processes (MDPs) – finite Markov processes, probability transitions, and optimal policies.
โข Temporal Difference (TD) Learning – bootstrapping, TD(0), SARSA, and Q-learning algorithms.
โข Monte Carlo Methods – first-visit and every-visit MC methods, policy evaluation, and improvement.
โข Function Approximation – linear, neural network, and deep learning approximations.
โข Deep Reinforcement Learning – deep Q-networks (DQN), double DQN, dueling DQN, and policy gradients.
โข Exploration vs Exploitation – e-greedy, Boltzmann exploration, and Upper Confidence Bound (UCB).
โข Multi-Agent Reinforcement Learning – independent learners, centralized training, and decentralized execution.
โข Reinforcement Learning Applications – robotics, gaming, natural language processing, and recommendation systems.
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