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Model-Based Reinforcement Learning with Reinforcement Learning Toolbox
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Learn how to create and train model-based policy optimization (MBPO) agents. An MBPO agent uses neural networks to internally approximate the environment. This reusable internal model allows for a greater sample efficiency compared to a typical model-free agent.
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More videos about Reinforcement Learning:
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© 2022 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
Example:
More videos about Reinforcement Learning:
Related Resources:
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© 2022 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
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