Professional Certificate in RL Implementation
-- ViewingNowThe Professional Certificate in Reinforcement Learning (RL) Implementation is a comprehensive course that equips learners with essential skills for career advancement in the thriving field of artificial intelligence. This program is crucial in today's data-driven world, where businesses constantly seek experts who can design and implement RL systems to optimize decision-making processes.
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Here are the essential units for a Professional Certificate in Reinforcement Learning (RL) Implementation:
• Introduction to Reinforcement Learning: concepts, history, and applications
• Markov Decision Processes (MDPs) and Dynamic Programming
• Temporal Difference (TD) Learning and Q-Learning
• Deep Q-Networks (DQNs) and Deep Reinforcement Learning
• Policy Gradients and Actor-Critic Methods
• Monte Carlo Tree Search (MCTS) and AlphaGo
• Reinforcement Learning in Continuous Spaces
• Multi-Agent Reinforcement Learning
• Implementing RL Algorithms in Python and TensorFlow
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