Certificate in Reinforcement Learning Theory and Practice
-- ViewingNowThe Certificate in Reinforcement Learning Theory and Practice is a comprehensive course that equips learners with essential skills in reinforcement learning. This in-demand field combines machine learning, psychology, and computer science to enable agents to make decisions and take actions based on rewarding outcomes.
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โข Introduction to Reinforcement Learning
โข Markov Decision Processes (MDPs)
โข Q-Learning and State-Action Value Functions
โข Policy Gradients and Policy-Based Methods
โข Deep Reinforcement Learning
โข Advanced Topics in Reinforcement Learning:
โข Exploration vs. Exploitation
โข Function Approximation
โข Monte Carlo Tree Search (MCTS)
โข Multi-Agent Reinforcement Learning
โข Applications and Case Studies of Reinforcement Learning
โข Ethical Considerations in Reinforcement Learning
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