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		<title>AI Agents Learn to Plan Subgoals by Watching the Whole Task Unfold</title>
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		<pubDate>Fri, 23 Oct 2026 14:01:45 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[AI planning]]></category>
		<category><![CDATA[ALFRED benchmark]]></category>
		<category><![CDATA[autonomous agents]]></category>
		<category><![CDATA[egocentric vision]]></category>
		<category><![CDATA[EOPBiSE]]></category>
		<category><![CDATA[hierarchical policy]]></category>
		<category><![CDATA[instruction following]]></category>
		<category><![CDATA[learning]]></category>
		<category><![CDATA[long-horizon tasks]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[plan]]></category>
		<category><![CDATA[subgoal planning]]></category>
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					<description><![CDATA[A new hierarchical AI framework called EOPBiSE plans subgoals from both language instructions and full-episode visual observations, improving handling of long-horizon household tasks in the ALFRED benchmark.]]></description>
		
		
		
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