Hi ROS community,
We’ve just launched “Mastering Reinforcement Learning for Robotics,” a course designed to help you master reinforcement learning for robotics, covering core concepts, Q-Learning, and Deep Q-Learning (DQL).
This course offers a comprehensive study of RL for robotics, equipping participants with practical skills to tackle real-world robotics challenges.
Through this course, you will learn:
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Fundamentals of Reinforcement Learning: Introduction to RL, Core Components, Policies, Learning Strategies, Exploration vs. Exploitation, and RL Hyperparameters
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Q-Learning: How Q-Learning Works, Implementing Q-Learning for Robot Simulation Cubix
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Deep Q-Learning (DQL): Why Transition to DQL, Core Concepts of DQL, Implementing DQL in PyGame, Implementing DQL for Robot Simulation Cubix
The course offers detailed step-by-step guides and hands-on exercises with robot simulation, enabling you to apply theory through practice.
You can find the course on The Construct Platform >> https://app.theconstruct.ai/courses/286
Feel free to ask any questions or share your thoughts about the course – we’re here to help!
