Certificate in Reinforcement Algorithmic Approaches
-- ViewingNowThe Certificate in Reinforcement Algorithmic Approaches is a comprehensive course designed to equip learners with the essential skills needed to excel in the rapidly evolving field of reinforcement learning. This course emphasizes the application of mathematical models and algorithmic approaches to solve complex problems, making it highly relevant for professionals working in data science, artificial intelligence, and machine learning.
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โข Introduction to Reinforcement Learning & Algorithms
โข Markov Decision Processes (MDPs) and Dynamic Programming
โข Temporal Difference (TD) Learning and Q-Learning
โข Policy Gradients and Actor-Critic Methods
โข Deep Reinforcement Learning: DQN, DDPG, TRPO, PPO
โข Monte Carlo Tree Search (MCTS) and AlphaGo
โข Multi-Agent Reinforcement Learning
โข Exploration and Exploitation Strategies
โข Reinforcement Learning Applications: Game Playing, Robotics, Control Systems, Recommender Systems
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