Masterclass Certificate in Deep Reinforcement Learning: Smart Solutions
-- ViewingNowThe Masterclass Certificate in Deep Reinforcement Learning: Smart Solutions is a comprehensive course that focuses on the application of deep learning techniques to reinforcement learning problems. This certification is crucial for professionals looking to stay updated with the latest advancements in AI and machine learning.
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• Unit 1: Introduction to Deep Reinforcement Learning · Overview of core concepts, history, and applications of deep reinforcement learning.
• Unit 2: Markov Decision Processes (MDPs) · Principles, components, and problem formulation.
• Unit 3: Reinforcement Learning Algorithms · Q-learning, SARSA, and policy gradients.
• Unit 4: Deep Learning Primer · Artificial neural networks, backpropagation, and optimization techniques.
• Unit 5: Deep Q-Networks (DQNs) · Architectures, training, and applications.
• Unit 6: Policy Gradients · REINFORCE, actor-critic methods, and advantage functions.
• Unit 7: Deep Deterministic Policy Gradients (DDPGs) · Continuous action spaces and off-policy learning.
• Unit 8: Proximal Policy Optimization (PPO) · Trust region methods and stable policy updates.
• Unit 9: Deep Reinforcement Learning Applications · Reinforcement learning in gaming, robotics, and autonomous systems.
• Unit 10: Ethical Considerations · Bias, fairness, and transparency in deep reinforcement learning systems.
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