MULTI-AGENT REINFORCEMENT LEARNING BY RECEIVING AND COMBINING HIDDEN LAYERS AT EACH AGENT

A local agent of a multi-agent reinforcement learning (MARL) system is disclosed, the local agent comprising a MARL network comprising at least one local hidden layer responsive to a plurality of local observations. A transmitter is configured to transmit an output of the local hidden layer to at le...

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Bibliographische Detailangaben

Hauptverfasser:	SOLEYMAN, Sean, KHOSLA, Deepak, YAHJA, Alex, FADAIE, Joshua G, HUNG, Fan H
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
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