Abstract: A controller includes a memory device and an execution device, which executes an operation of an operated unit of an internal combustion engine. The execution device executes a first calculation process that uses adapted data sets in order to calculate an operated amount on the basis of a detected value of a state variable, a second calculation process that calculates, as the operated amount, a value that is determined by a relationship defining data set and the state variable, a reinforcement learning process that updates the relationship defining data set, first and operation processes that operate the operated unit in accordance with a calculated value of the operated amount, and a switching process that switches a process that operates the operated unit between the first operation process and the second operation process in accordance with the state of the vehicle.

Abstract: A CPU mounted on a vehicle obtains positional data by the GPS. Next, the CPU identifies an octane number, which is a parameter related to combustion of fuel, on the basis of the positional data corresponding to the position of the vehicle and the date and time at which the positional data was obtained. Then, the CPU calculates a correction amount on the basis of the identified parameter. The CPU assigns, to ignition timing, a value calculated on the basis of the correction amount. The CPU controls an ignition device so that the ignition device generates spark discharge at the calculated ignition timing.

Abstract: A vehicle controller, a vehicle control system, a vehicle control method, and a vehicle control system control method are provided. An internal execution device of the vehicle controller detects that learning data stored by an internal memory device due to the occurrence of an anomaly in a vehicle. The internal execution device transmits, to the outside of the vehicle, a request signal that requests for previously-learned learning data, where learning is performed from an initial state of the learning data. The internal execution device causes the internal memory device to store the received previously-learned learning data instead of the reset learning data.

Abstract: A controller includes a memory device and an execution device, which executes an operation of an operated unit of an internal combustion engine. The execution device includes a first operation process that operates the operated unit by an operated amount, which is calculated on the basis of a state of a vehicle, using an adapted data set, a second operation process that operates the operated unit by an operated amount that is defined by a relationship defining data set and the state of the vehicle, and a switching process that switches the operation of the operated unit between an operation by the first operation process and an operation by the second operation process, depending on whether the vehicle is performing a manual acceleration travel or an automatic acceleration travel.

Abstract: A vehicle control data generation method is provided. A self-driving mode of a vehicle automatically generates a command value of a propelling force produced by a propelling force generator independently of an accelerator operation. An execution device provides a greater reward based on an obtained state of the vehicle when a standard of a characteristic of the vehicle is met than when the standard is not met. Providing the reward changes a reward that is provided when the characteristic of the vehicle is a predetermined characteristic in the self-driving mode such that the changed reward differs from a reward that is provided when the characteristic of the vehicle is the predetermined characteristic in a manual driving mode.

Abstract: A vehicle control data generation method is provided. A preference variable indicates a relative preference of a user for two or more requested elements that include at least two of three requested elements including a requested element indicating a high acceleration response of a vehicle, a requested element indicating at least one of vibration and noise of the vehicle is small, and a requested element indicating a high energy use efficiency. The reward calculating process includes a changing process that changes a reward provided when a characteristic of the vehicle is a predetermined characteristic in a case where a value of the preference variable is a second value such that the changed reward differs from the reward provided when the characteristic is the predetermined characteristic in a case where the value of the preference variable is a first value.

Abstract: A method for generating vehicle controlling data includes executing an operating process that operates an electronic device, executing an obtaining process that obtains a state of a vehicle, executing a reward calculation process that assigns a reward based on the state of the vehicle, and an updating process that updates relationship specifying data. The reward calculation process includes a changing process that changes a reward assigned when an area variable equals a second value and a property of the vehicle is a predetermined property from a reward assigned when the area variable equals a first value and the property of the vehicle is the predetermined property.

Abstract: A vehicle controller is used for a first vehicle and includes processing circuitry. The processing circuitry is configured to execute an index deriving process that derives a traveling performance index of the first vehicle, the traveling performance index being an index related to a traveling performance, an index receiving process that receives the traveling performance index of a second vehicle from the second vehicle through vehicle-to-vehicle communication, and a performance determination process that compares the traveling performance index of the second vehicle with the traveling performance index of the first vehicle to determine whether a traveling performance of the first vehicle is lower than a traveling performance of the second vehicle.

Abstract: An object of the present invention is to provide a novel molecule which has high specificity to CLDN-5 and recognizes an extracellular domain of CLDN-5. The object is achieved by an antibody which specifically recognizes a three-dimensional structure or a primary structure of an extracellular domain of a Claudin-5 protein.

Abstract: An oxygen storage amount estimation device estimates an oxygen storage amount of a catalyst disposed in an exhaust passage of an internal combustion engine. The oxygen storage amount estimation device includes a storage device and processing circuitry. The storage device stores mapping data, which is data specifying a mapping that uses multiple variables including at least an excess-deficient amount variable and a previous value of a storage amount variable as an input to output a value of the storage amount variable. The processing circuitry executes a storage amount variable calculation process that repeatedly calculates a value of the storage amount variable based on an output of the mapping using the multiple variables and an operation process that operates predetermined hardware based on a calculation result of the storage amount variable calculation process. The mapping data includes data learned by machine learning.

Abstract: A vehicle controller includes processing circuitry and a storage device. The storage device stores relationship specifying data that specifies a relationship between a state of a vehicle and at least one action variable. The at least one action variable is a variable related to operation of an operating unit of an internal combustion engine. The processing circuitry is configured to execute an obtaining process that obtains a state of the vehicle, an operating process that operates the operating unit based on a value of the at least one action variable, a reward calculation process, an updating process that updates the relationship specifying data, and a determination process that determines whether the internal combustion engine has deteriorated. The determination process is executed on condition that at least one of the at least one action variable equals a predetermined value.

Abstract: A controller transmits a fuel-economy variable, which corresponds to a travelled distance by a unit fuel amount, to a vehicle group managing device. When the fuel-economy variable is greater than or equal to a reference value, the vehicle group managing device determines that a user is a good driver. When updating software installed in the controller, the vehicle group managing device discounts the billing amount for purchasing the updated version of the software.

Abstract: A CPU uses relationship-defining data to set a throttle command value and a gear ratio command value on the basis of time-series data of an accelerator operation amount, a vehicle speed, and a gear ratio. The CPU operates a throttle valve and a transmission in accordance with the throttle command value and the gear ratio command value and obtains a rotation speed, a torque, a torque command value, and an acceleration at that time. When a predetermined amount of time is completed, the CPU updates the relationship-defining data by providing a reward depending on whether the torque and the acceleration meet standards. The CPU changes the reward depending on whether a position is a merging point.

Abstract: A CPU sets a gear ratio, which is an action, on the basis of an accelerator operation amount, a vehicle speed, a gradient, a curvature, and a current gear ratio, until a predetermined amount of time elapses. The CPU operates a transmission in accordance with the set gear ratio and obtains a rotation speed NE of a crankshaft at that time. When the predetermined amount of time has elapsed, the CPU updates an action value function by providing a reward in accordance with whether the number of times of switching the rotation speed NE or the gear ratio meets a standard.

Abstract: A vehicle controller is provided. An update process updates a relationship defining data by inputting, to a predetermined update map, a state of a vehicle, a value of an action variable used to operate an electronic device, and a reward corresponding to that electronic device. A reward calculating process provides, based on the state of the vehicle obtained by an obtaining process, a greater reward when a characteristic of the vehicle meets a standard than when the characteristic of the vehicle does not meet the standard. A loosening process loosens the standard to a larger extent when the degree of deterioration is large than when the degree of deterioration is small.

Abstract: A control device for a high pressure fuel pump (33) for fuel injection (14) in which values of at least seven parameters of an engine speed, an engine load, a lubrication oil temperature, an amount of fuel supplied to the high pressure fuel pump (33), a temperature of intake air fed into the engine, a temperature of fuel discharged from the high pressure fuel pump (33), and a vehicle speed are acquired, and a learned neural network learned in weights using acquired values of the seven parameters as input values of the neural network and using as training data the temperature of fuel discharged from the high pressure fuel pump (33) acquired after a fixed time period from when acquiring the values of the seven parameters is stored, At the time of an engine operation, the temperature of fuel discharged from the high pressure fuel pump (33) after the fixed time period is estimated by using the learned neural network from the current estimated temperature of fuel discharged from the high pressure fuel pump (33).

Abstract: A vehicle controller includes processing circuitry and a storage device. The storage device stores relationship specifying data that specifies a relationship between a vehicle state and an action variable. The processing circuitry is configured to execute an obtaining process obtaining the vehicle state, an operating process operating an electronic device based on a value of the action variable, a reward calculation process assigning a reward based on the vehicle state, an updating process updating the relationship specifying data using the vehicle state, the value of the action variable, and the reward as inputs to an update mapping. When a value of the action variable designated by the relationship specifying data is a first value, a process in which the operating process operates the electronic device in accordance with the first value is executable in a first situation and is not executable in a second situation.

Abstract: An update process updates relationship defining data by inputting, to a predetermined update map, a state of a vehicle obtained by a state obtaining process, a value of an action variable used to operate an electronic device, and a reward corresponding to an operation of an electronic device. A range in which an operation process uses, as the action variable, a value different from a value that maximizes an expected return related to the reward is defined as a return non-maximizing range. In a case in which a degree of deterioration of the vehicle is greater than or equal to a predetermined degree, a changing process changes the return non-maximizing range to a side on which the return non-maximizing range is expanded as compared to a case in which the degree of deterioration is less than the predetermined degree.

Abstract: A vehicle controller, a vehicle control system, a vehicle learning device, a vehicle control method, and a memory medium are provided. A switching process switches relationship defining data used in an operation process to post-measure data, when a detection process detects that a functional recovery measure has been taken. The switching process includes a process that uses, as the post-measure data, initial data that is the relationship defining data of a state before an update process is executed as the vehicle travels.

Abstract: A vehicle control system is provided. A classification process classifies vehicles into groups based on information related to vehicles. In order to update relationship defining data for each of the classified groups, an update process inputs, into an update map, states of the vehicles belonging to a same group, values of action variables used to operate the electronic devices of the vehicles belonging to the same group, and rewards corresponding to the operation of the electronic devices.