Abstract: Techniques described herein include selecting experience data for use when training or retraining a model. In one example, this disclosure describes a method that includes generating a plurality of trajectories, each comprising a contiguous sequence of instances of experience data, where each instance of experience data in the contiguous sequence has an error value associated that instance of experience data; determining, for each of the trajectories, a sorted order of the instances of experience data, wherein the sorted order is based on the error value associated with each of the instances of experience data; selecting, based on a distribution function applied to the sorted order of the instances of experience data in at least one of the trajectories, a subset of instances of the experience data; and retraining a reinforcement learning model, using the subset of instances of experience data, to predict an optimal action to take in a state.

Abstract: An autonomous vehicle comprises a sensor and one or more processors. The one or more processors can be configured to receive a set of object location data from the sensor, the set of object location data indicating an object; generate a measured representation of the object based on the set of object location data; execute a tracking protocol using data of the measured representation of the object as input to generate a virtual representation of the object, the virtual representation of the object comprising a virtual point that is nearest to a defined location of the autonomous vehicle; and translate the virtual point of the virtual representation of the object to a measured point of the measured representation of the object.

Abstract: Techniques described herein include selecting experience data for use when training or retraining a model in a reinforcement learning environment. In one example, this disclosure describes a method that includes generating a plurality of instances of episode data, each comprising a sequence of instances of experience data; storing each of the plurality of instances of episode data in a buffer; compiling statistics associated with each of the plurality of instances of episode data; selecting, based on the statistics associated with each of the plurality of instances of episode data, instances of the experience data from the buffer; and training a model, using the selected instances of experience data, to predict an optimal action to take in a reinforcement learning model, wherein the optimal action is an action expected to result in a maximum future reward.

Abstract: A system level search module receives system level search user interface registration information for an application of the computing device. The registration information includes an indication of how the system level search module can launch the application. The registration information is added to a registration store, and the application is included as one of one or more applications that can be searched using the system level search user interface.

Abstract: The present specification describes a medicine dispensing system for automatically dispensing medication at a predetermined time. The system includes a cartridge that carries a strip of medicine pouches. When the cartridge is dropped into a dispensing unit, it automatically aligns with the dispensing unit without requiring any installation work from the user. The automatic alignment is enabled because of self-aligning features manufactured in the cartridge housing.

Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices associated with sensor output segmentation are provided. For example, sensor data can be accessed. The sensor data can include sensor data returns representative of an environment detected by a sensor across the sensor's field of view. Each sensor data return can be associated with a respective bin of a plurality of bins corresponding to the field of view of the sensor. Each bin can correspond to a different portion of the sensor's field of view. Channels can be generated for each of the plurality of bins and can include data indicative of a range and an azimuth associated with a sensor data return associated with each bin. Furthermore, a semantic segment of a portion of the sensor data can be generated by inputting the channels for each bin into a machine-learned segmentation model trained to generate an output including the semantic segment.

Abstract: A system level search module receives system level search user interface registration information for an application of the computing device. The registration information includes an indication of how the system level search module can launch the application. The registration information is added to a registration store, and the application is included as one of one or more applications that can be searched using the system level search user interface.

Abstract: A system level search module receives system level search user interface registration information for an application of the computing device. The registration information includes an indication of how the system level search module can launch the application. The registration information is added to a registration store, and the application is included as one of one or more applications that can be searched using the system level search user interface.

Abstract: Disclosed are thermoplastic vulcanizates comprising a plastic phase and a rubber phase and process for preparing such thermoplastic vulcanizates, wherein the plastic phase comprises a thermoplastic polymer and the rubber phase comprises a carboxylated nitrile rubber.

Abstract: A furnace stave comprising a plurality of internal channels or conduits for circulating cooling fluid through the stave; an inlet and an outlet channel associated with each internal channel or conduit; wherein one of the internal channels or conduits is disposed in a protrusion from the stave.

Abstract: Digital receiver integrated local channel insertion is described. A network-connected digital receiver may be configured to bridge its network connection to extend IP connectivity via a single cable to a compatible peripheral device. In this way, the peripheral device may be connected to the local network in a controlled and automated way and, when being leveraged by an application operating on the digital receiver, the application may be granted the necessary traffic priority settings for application performance. For example, a USB, HDMI, or Ethernet connection with a peripheral device can be used by the digital receiver to provide an end-to-end managed peripheral device solution that eliminates user-intervention associated with networking, set-up, and management of the peripheral device. Various aspects of the present disclosure may be facility by a peripheral device connectivity engine that may be natively programmed into the digital receiver software stack, allowing for an intuitive user experience.

Abstract: Methods and systems are presented for automatically configuring a staging environment to facilitate testing of online use-case scenarios for an online service provider. In response to receiving a request to test an online use-case scenario, a user account configuration may be derived from the use-case scenario. Account data for creating a user account is generated based on the user account configuration. The account data is inserted into a database of the staging environment to create the user account within the staging environment. A workflow associated with the online use-case scenario is automatically performed based on the newly generated user account in the staging environment. One or more defects observed while performing the workflow is reported to a user.

Abstract: A file access request is received from an application. One or more file types for the file access request are identified, and one or more file hosts supporting files of the identified one or more file types are also identified. A user interface is displayed, the user interface including a hosted area. Within the hosted area, at least one of the one or more file hosts displays a portion of the user interface identifying one or more files of at least one file host that can be selected for retrieval, or one or more locations that can be selected to which the one or more files are saved.

Abstract: Methods and systems are presented for automatically configuring a staging environment to facilitate testing of online use-case scenarios for an online service provider. In response to receiving a request to test an online use-case scenario, a user account configuration may be derived from the use-case scenario. Account data for creating a user account is generated based on the user account configuration. The account data is inserted into a database of the staging environment to create the user account within the staging environment. A workflow associated with the online use-case scenario is automatically performed based on the newly generated user account in the staging environment. One or more defects observed while performing the workflow is reported to a user.