{"id":6556,"date":"2024-01-18T13:01:37","date_gmt":"2024-01-18T05:01:37","guid":{"rendered":"https:\/\/ascendas-asia.com\/?page_id=6556"},"modified":"2024-01-19T00:21:42","modified_gmt":"2024-01-18T16:21:42","slug":"ai-for-deep-reinforcement-learning","status":"publish","type":"page","link":"https:\/\/ascendas-asia.com\/vi\/ai-for-deep-reinforcement-learning\/","title":{"rendered":"Deep Reinforcement Learning"},"content":{"rendered":"

Apply deep learning to controls and decision-making applications<\/strong><\/span><\/h2>\n

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Deep reinforcement learning is a branch of machine learning that enables you to implement controllers and decision-making algorithms for complex applications such as robots and autonomous systems. Deep reinforcement learning lets you train neural networks to learn complex behaviors using data generated dynamically from simulated or physical systems. Using MATLAB, Simulink, and Reinforcement Learning Toolbox, you can run through the complete workflow for designing and deploying a deep reinforcement learning system.You can:<\/p>\n