Certificate in RL Best Practices
-- ViewingNowThe Certificate in RL Best Practices course is a comprehensive program designed to equip learners with the essential skills required in the rapidly evolving Reinforcement Learning (RL) industry. This course emphasizes the importance of following best practices, which are crucial for developing and deploying scalable, maintainable, and robust RL solutions.
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⢠Reinforcement Learning (RL) Fundamentals
⢠RL Exploration vs Exploitation
⢠Q-Learning and State-Action Reward
⢠Deep Q Networks (DQN)
⢠Policy Gradients and Actor-Critic Methods
⢠Monte Carlo Tree Search (MCTS)
⢠RL Best Practices and Implementation
⢠Advanced RL Techniques and Optimization
⢠Real-world RL Applications and Case Studies
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