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Our Courses
Machine Learning and Data Science
Reinforcement Learning for Complex Systems
Topics Covered
Level :
Expert
Reward-based models, decision processes, policy optimization
Course Summary
Use reinforcement learning to solve dynamic problems with feedback-based decision-making.
Course Description
This advanced course focuses on environments with continuous learning and strategic planning, applying algorithms like Q-learning and policy gradients.
Learning Modules
Module 1: RL concepts including agents, environments, and rewards.
Module 2: Implementing Q-learning and policy optimization.
Module 3: Applying RL to simulations and control systems.
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