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</html><description>Description: The hybrid approach in reinforcement learning refers to a methodology that combines different techniques and strategies to optimize the learning process of an agent. This approach seeks to leverage the advantages of multiple paradigms, such as supervised and unsupervised learning, as well as the integration of experience-based models and exploration. By combining these methods, [&hellip;]</description></oembed>
