Showing 3 open source projects for "q-learning"

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    AWS IoT FleetWise Edge

    AWS IoT FleetWise Edge

    AWS IoT FleetWise Edge Agent

    Easily collect, transform, and transfer vehicle data to the cloud in near-real-time. AWS IoT FleetWise makes it easy and cost-effective for automakers to collect, transform, and transfer vehicle data to the cloud in near-real-time and use it to build applications with analytics and machine learning that improve vehicle quality, safety, and autonomy. Train autonomous vehicles (AVs) and advanced driver assistance systems (ADAS) with camera data collected from a fleet of production vehicles...
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    ESP32 ACME client

    ESP32 library for ACME protocol client (to get certificates)

    .... Specific configuration examples and technology overview is in https://sourceforge.net/p/esp32-acme-client/code/HEAD/tree/trunk/components/acmeclient/Configurations.md. You can get this component from Espressif's component registry ( https://components.espressif.com/components?q=dannybackx ). Put this component into your project with idf.py add-dependency dannybackx/acmeclient
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    AWS IoT Arduino Yún SDK

    AWS IoT Arduino Yún SDK

    SDK for connecting to AWS IoT from an Arduino Yún

    The AWS-IoT-Arduino-Yún-SDK allows developers to connect their Arduino Yún compatible Board to AWS IoT. By connecting the device to the AWS IoT, users can securely work with the message broker, rules and the Thing Shadow provided by AWS IoT and with other AWS services like AWS Lambda, Amazon Kinesis, Amazon S3, etc. The AWS-IoT-Arduino-Yún-SDK consists of two parts, which take use of the resources of the two chips on Arduino Yún, one for native Arduino IDE API access and the other for...
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