Half day Tutorial

Date: Friday, December 20, 2024 Time: 9:00AM – 1:00PM

Title:
Learn to Design and Implement Deep Reinforcement Learning Solutions with MATLAB

This hands-on tutorial will equip you with the skills to tackle complex AI problems using deep reinforcement learning techniques. You’ll learn how to:

• Formulate Reinforcement Learning Problems: Understand the key components of a reinforcement learning problem, including states, actions, rewards, and policies.
• Leverage MATLAB’s Deep Learning Toolbox: Utilize MATLAB’s powerful tools to design and train deep neural networks for reinforcement learning.
• Train Agents Interactively: Use MATLAB’s interactive environment to train agents in real-time and visualize their learning process.
• Apply Reinforcement Learning to Real-World Scenarios: Explore applications of reinforcement learning in autonomous systems, robotics, and other domains.

Who Should Attend:

• Researchers and engineers interested in AI and machine learning
• Students and practitioners seeking to learn reinforcement learning techniques
• Individuals working in robotics, autonomous systems, or game development
• Anyone interested in AI and Machine Learning

This is a Hands-On tutorial and as such, participants will need to have access to a laptop with internet connection.

Click here for registration

Limited Seats Available! Don’t miss this opportunity to gain practical experience in deep reinforcement learning. Register now to secure your spot.

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