Certificate in Reinforcement Learning Strategies for Data-Driven Decisions
-- ViewingNowThe Certificate in Reinforcement Learning Strategies for Data-Driven Decisions is a comprehensive course designed to empower learners with essential skills in reinforcement learning, a crucial area of artificial intelligence. This industry-demanded program focuses on data-driven decision-making, teaching students to create algorithms that learn and adapt through experience, ultimately optimizing business outcomes.
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โข Introduction to Reinforcement Learning Strategies
โข Understanding the Markov Decision Process (MDP)
โข Q-Learning and State-Action Reward Q-table (Q-table)
โข Deep Q Networks (DQN) and Neural Fitted Q-Learning
โข Policy Gradients and REINFORCE Method
โข Actor-Critic Methods: Advantage Actor-Critic (A2C) and Asynchronous Advantage Actor-Critic (A3C)
โข Deep Deterministic Policy Gradients (DDPG)
โข Proximal Policy Optimization (PPO) and Trust Region Policy Optimization (TRPO)
โข Temporal Difference (TD) Learning and Monte Carlo (MC) Methods
โข Applications of Reinforcement Learning Strategies in Data-Driven Decisions
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