Certificate in RL for High Performance
-- ViewingNowThe Certificate in Reinforcement Learning (RL) for High Performance is a comprehensive course that empowers learners with the essential skills required to excel in the rapidly growing field of RL. This course highlights the importance of RL, a specialized machine learning technique that enables artificial intelligence (AI) systems to learn how to make optimal decisions by interacting with their environment.
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โข Introduction to Reinforcement Learning: Overview of RL, its applications, and key concepts.
โข Markov Decision Processes: Theory and math behind Markov Decision Processes and how they relate to RL.
โข Temporal Difference Learning: Explanation and implementation of TD learning algorithms.
โข Q-Learning: In-depth look at Q-learning and its variations.
โข Policy Gradients: Understanding and applying policy gradient methods.
โข Deep Reinforcement Learning: Introduction to combining deep learning with RL.
โข Monte Carlo Tree Search: Explanation and application of MCTS algorithms.
โข Multi-Agent Reinforcement Learning: Overview of RL in multi-agent systems.
โข Applications of RL in High Performance: Real-world examples and case studies of RL in high-performance settings.
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