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	<title>In situ reinforcement learning &#8211; BIOENGINEER.ORG</title>
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	<title>In situ reinforcement learning &#8211; BIOENGINEER.ORG</title>
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		<title>Model-Free Optical Processors Learn via Proximal Policy Optimization</title>
		<link>https://bioengineer.org/model-free-optical-processors-learn-via-proximal-policy-optimization/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Thu, 01 Jan 2026 06:34:32 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Adaptive photonic computation]]></category>
		<category><![CDATA[Autonomous hardware learning** **Seçimlerimin gerekçesi:** 1. **Model-free optical processors:** Çalışmanın temel çığır açıcı özelliği]]></category>
		<category><![CDATA[geleneksel ileri]]></category>
		<category><![CDATA[In situ reinforcement learning]]></category>
		<category><![CDATA[İşte bu içerik için en uygun 5 etiket (virgülle ayrılmış): **Model-free optical processors]]></category>
		<category><![CDATA[Proximal policy optimization]]></category>
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					<description><![CDATA[In a groundbreaking development set to redefine the landscape of optical computing, researchers have unveiled a novel model-free optical processor that leverages in situ reinforcement learning combined with proximal policy optimization. This pioneering approach circumvents traditional challenges faced by optical processors by enabling adaptive learning directly within the optical system, heralding a new era of [&#8230;]]]></description>
		
		
		
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