Certificate in Reinforcement Learning Strategies for Career Growth
-- ViewingNowThe Certificate in Reinforcement Learning Strategies for Career Growth is a comprehensive course designed to equip learners with essential skills in reinforcement learning (RL), a subfield of artificial intelligence (AI) that deals with agent-environment interactions. This course is crucial in today's industry, where RL is becoming increasingly important in developing intelligent systems that can learn from experience and make informed decisions.
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โข Introduction to Reinforcement Learning Strategies
โข Markov Decision Processes (MDPs) in RL
โข Q-Learning and State-Action Reward Q-tables
โข Deep Q Networks (DQNs) and Neural Fitted Q
โข Policy Gradients and REINFORCE Method
โข Actor-Critic Method and Advantage Actor-Critic
โข Deep Deterministic Policy Gradient (DDPG)
โข Proximal Policy Optimization (PPO)
โข Soft Actor-Critic (SAC) and Maximum Entropy RL
โข Applied Reinforcement Learning Projects
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