q_learning | learning algorithm by using existing code
kandi X-RAY | q_learning Summary
kandi X-RAY | q_learning Summary
q_learning is a Python library. q_learning has no bugs, it has no vulnerabilities and it has low support. However q_learning build file is not available. You can download it from GitHub.
Simple Reinforcement learning example, based on the Q-function. - Rules: The agent (yellow box) has to reach one of the goals to end the game (green or red cell). - Rewards: Each step gives a negative reward of -0.04. The red cell gives a negative reward of -5. The green one gives a positive reward of +5. The black walls give a negative reward of -1. - States: Each cell is a state the agent can be. - Actions: There are only 4 actions. Up, Down, Right, Left.
Simple Reinforcement learning example, based on the Q-function. - Rules: The agent (yellow box) has to reach one of the goals to end the game (green or red cell). - Rewards: Each step gives a negative reward of -0.04. The red cell gives a negative reward of -5. The green one gives a positive reward of +5. The black walls give a negative reward of -1. - States: Each cell is a state the agent can be. - Actions: There are only 4 actions. Up, Down, Right, Left.
Support
Quality
Security
License
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Support
q_learning has a low active ecosystem.
It has 27 star(s) with 15 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
q_learning has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of q_learning is current.
Quality
q_learning has 0 bugs and 0 code smells.
Security
q_learning has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
q_learning code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
q_learning does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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q_learning releases are not available. You will need to build from source code and install.
q_learning has no build file. You will be need to create the build yourself to build the component from source.
q_learning saves you 76 person hours of effort in developing the same functionality from scratch.
It has 196 lines of code, 18 functions and 3 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed q_learning and discovered the below as its top functions. This is intended to give you an instant insight into q_learning implemented functionality, and help decide if they suit your requirements.
- Run the game
- Try to move the player
- Render the grid
- Performs action
- Render a game
- Generate random position
- Restart game
- Find the maximum value of a sequence
- Increase the value of a polynomial
- Determine if the server has started
- Updates the Q learning formula
- Get the available actions for a given state
- Generate random action from available actions
- Start the game
Get all kandi verified functions for this library.
q_learning Key Features
No Key Features are available at this moment for q_learning.
q_learning Examples and Code Snippets
No Code Snippets are available at this moment for q_learning.
Community Discussions
Trending Discussions on q_learning
QUESTION
Javascript store array of highest length in temp array
Asked 2019-Feb-26 at 00:11
I have two arrays that when generated can be either equal or one longer than the other.
I need to get the longest array if they are not equal and use the length to control a loop.
...ANSWER
Answered 2019-Feb-26 at 00:11I've figured it out. I was getting the size of an array on a json object.
The below code solved it.
QUESTION
TypeError: cpu_count() takes 1 positional argument but 2 were given
Asked 2017-Mar-11 at 13:07
I am trying to get a hold of the multiprocessing (2 CPUs on my Mac). My code is roughly the following:
...ANSWER
Answered 2017-Mar-11 at 13:07cpu_count does not take any arguments. The one positional argument is the self instance multiprocessing.
https://docs.python.org/3/library/multiprocessing.html#multiprocessing.cpu_count
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install q_learning
You can download it from GitHub.
You can use q_learning 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.
You can use q_learning 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.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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