Graduate Certificate in Modern Reinforcement Learning Theories
-- ViewingNowThe Graduate Certificate in Modern Reinforcement Learning Theories is a comprehensive course designed to provide learners with advanced knowledge in reinforcement learning, a subfield of artificial intelligence that deals with making decisions and taking actions based on maximizing rewards. This course is crucial for professionals seeking to stay updated with the latest industry trends and advancements in AI and machine learning.
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⢠Introduction to Reinforcement Learning
⢠Markov Decision Processes (MDPs)
⢠Temporal Difference (TD) Learning
⢠Q-Learning and State-Action-Reward-State-Action (SARSA)
⢠Deep Reinforcement Learning
⢠Policy Gradients and Actor-Critic Methods
⢠Monte Carlo Tree Search (MCTS)
⢠Multi-Agent Reinforcement Learning
⢠Advanced Topics in Reinforcement Learning
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