Universal attention-based reinforcement learning model for control systems

Universal attention-based reinforcement learning model for control systems

Alternatively, or additionally, a computing system generates an indication of a selected outcome according to the reinforcement learning model and sends a selection output to the second environment (e.g., a second traffic intersection with more lanes than the first traffic intersection) to implement...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Silva, Jorge Manuel Gomes da, Oroojlooyjadid, Afshin, Nazari, Mohammadreza, Hajinezhad, Davood
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SIGNALLING
TRAFFIC CONTROL SYSTEMS
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Beschreibung
Zusammenfassung:Alternatively, or additionally, a computing system generates an indication of a selected outcome according to the reinforcement learning model and sends a selection output to the second environment (e.g., a second traffic intersection with more lanes than the first traffic intersection) to implement the selected action in the second environment.