Certificate in Reinforcement Learning Strategies: Connected Systems
-- ViewingNowThe Certificate in Reinforcement Learning Strategies: Connected Systems course is a valuable asset for professionals seeking to enhance their expertise in artificial intelligence. This program focuses on reinforcement learning, a powerful machine learning approach that enables agents to learn from their interactions with an environment and make informed decisions.
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โข Introduction to Reinforcement Learning Strategies in Connected Systems
โข Markov Decision Processes (MDPs) and Reinforcement Learning
โข Q-Learning and Deep Q-Networks (DQNs) in Connected Systems
โข Policy Gradients and Actor-Critic Methods in Reinforcement Learning
โข Multi-Agent Reinforcement Learning for Connected Systems
โข Deep Deterministic Policy Gradient (DDPG) and Proximal Policy Optimization (PPO)
โข Reinforcement Learning Applications in Connected Transportation Systems
โข Reinforcement Learning Applications in IoT and Edge Computing
โข Designing and Optimizing Reinforcement Learning Algorithms for Connected Systems
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