Certificate in Reinforcement Learning Principles: Results-Oriented
-- ViewingNowThe Certificate in Reinforcement Learning Principles is a results-oriented course designed to equip learners with essential skills in reinforcement learning. Reinforcement learning is a cutting-edge machine learning technique that enables agents to learn from experience and make decisions based on rewards and punishments.
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โข Introduction to Reinforcement Learning Principles
โข Understanding the RL Agent and Environment
โข Markov Decision Processes (MDPs) in Reinforcement Learning
โข Q-Learning Algorithm and Implementation
โข Deep Q Networks (DQNs) and Advanced DQN Variants
โข Policy Gradients and REINFORCE Method
โข Actor-Critic Method and Advantage Actor-Critic (A2C/A3C)
โข Proximal Policy Optimization (PPO) and Trust Region Policy Optimization (TRPO)
โข Deep Deterministic Policy Gradient (DDPG) and Twin Delayed DDPG (TD3)
โข Reinforcement Learning Applications and Case Studies
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