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		<title>Teaching 6G Networks to Keep Self-Driving Cars Connected: AI Takes the Wheel</title>
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				<category><![CDATA[Technology]]></category>
		<category><![CDATA[5G]]></category>
		<category><![CDATA[6G]]></category>
		<category><![CDATA[beyond 5G]]></category>
		<category><![CDATA[Deep Reinforcement Learning]]></category>
		<category><![CDATA[Edge Computing]]></category>
		<category><![CDATA[handover]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[mobility management]]></category>
		<category><![CDATA[network slicing]]></category>
		<category><![CDATA[quality of service]]></category>
		<category><![CDATA[V2X]]></category>
		<category><![CDATA[vehicular networks]]></category>
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					<description><![CDATA[A new survey in Cluster Computing examines how deep reinforcement learning can manage mobility and preserve quality of service for vehicles moving across sliced 6G networks.]]></description>
		
		
		
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