An Intrusion Detection Approach for Industrial Internet of Things Traffic Using Deep Recurrent Reinforcement Learning and Federated Learning

Information Science, Electronic Information, Computer Science, Artificial Intelligence,
Industrial IoT   Intrusion Detection   Federated Learning   Deep Reinforcement Learning   Temporal Dependencies   Data Privacy   Node Selection  

Intrusion Detection Approach for Industrial Internet of Things Traffic Using Deep Recurrent Reinforcement Learning and Federated Learning Academic Background The rapid development of the Industrial Internet of Things (IIoT) has profoundly transformed intelligent industrial systems, enabling data exchange, remote control, and smart decision-making b...

Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning

Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning

Information Science, Automation, Artificial Intelligence,
Deep Reinforcement Learning   Bipedal Robot   Agility   Soccer Skills   Sensorimotor Control  

Deep Reinforcement Learning Empowers Agile Soccer Skills for Bipedal Robots Background Introduction One of the long-term goals of artificial intelligence (AI) research is to enable agents to exhibit agility, flexibility, and understanding in the physical world. However, animals and humans not only smoothly complete complex physical actions but also...