ArPyLearning | Arduino interface and Deep Reinforcement Learning
kandi X-RAY | ArPyLearning Summary
kandi X-RAY | ArPyLearning Summary
ArPyLearning is a light-weight Python library for communicating with Arduino microcontroller boards from a connected computer using standard serial IO, either over a physical wire or wirelessly. It is written using a custom protocol, similar to Firmata. This allows a user to have an easy prototyping in dev and a maintainance of the connectivity with some webframework like Flask.
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Top functions reviewed by kandi - BETA
- Run q - learning optimizer
- Sends the given action
- Generate a policy function for an epsilon policy
- Move the LED
- Move the LED forward
- Stop the pin
- Reset the state
- Step one step
- Example demo
- Control servo
- Generate a random action degree
- Render the image
- Train the agent
- Returns the action of the given state
- Replay the model
- Calculate transition probability
- Limits coordinates
- Example learning function
- Get distance
ArPyLearning Key Features
ArPyLearning Examples and Code Snippets
Community Discussions
Trending Discussions on Internet of Things (IoT)
QUESTION
I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files
...ANSWER
Answered 2020-May-17 at 23:55The new object to get params in React Navigation 5 is:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ArPyLearning
You can use ArPyLearning like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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