1.0Glosarixhttps://glosarix.com/en/Team Glosarixhttps://glosarix.com/en/author/adm_glosarix/Off-Policy Learning - Glosarixrich600338<blockquote class="wp-embedded-content" data-secret="Fs8pXOuvVR"><a href="https://glosarix.com/en/glossary/off-policy-learning-en/">Off-Policy Learning</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/off-policy-learning-en/embed/#?secret=Fs8pXOuvVR" width="600" height="338" title="“Off-Policy Learning” — Glosarix" data-secret="Fs8pXOuvVR" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script>
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Description: Off-policy learning is an approach within reinforcement learning that allows the evaluation and improvement of a policy different from the one used to generate the data. This means that the agent can learn from past experiences that were not generated by its current policy, allowing it to explore and learn from a broader range […]