Certificate in Reinforcement Learning Strategies: Impactful Insights
-- ViewingNowThe Certificate in Reinforcement Learning Strategies is a comprehensive course that focuses on advanced AI techniques to train machines in making intelligent decisions based on rewarding or penalizing outcomes. This certification highlights the importance of reinforcement learning (RL), a highly sought-after skill in today's data-driven industries.
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โข Introduction to Reinforcement Learning Strategies
โข Understanding Markov Decision Processes (MDPs)
โข Q-Learning and State-Action Reward Tables
โข Deep Q Networks (DQNs) & Advanced Neural Network Architectures
โข Policy Gradients & REINFORCE Algorithm
โข Actor-Critic Methods: Advantage Actor-Critic (A2C) & Asynchronous Advantage Actor-Critic (A3C)
โข Proximal Policy Optimization (PPO) & Trust Region Policy Optimization (TRPO)
โข Deep Deterministic Policy Gradient (DDPG) & Twin Delayed DDPG (TD3)
โข Multi-Agent Reinforcement Learning (MARL) & Cooperative Learning
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