poker_ai | 🤖 An Open Source Texas Hold'em AI | Machine Learning library

by fedden Python Version: v1.0.0rc3 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | poker_ai Summary

poker_ai is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. poker_ai has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However poker_ai has a Non-SPDX License. You can install using 'pip install poker_ai' or download it from GitHub, PyPI.

🤖 An Open Source Texas Hold'em AI

Support

Quality

Security

License

Reuse

Support

poker_ai has a medium active ecosystem.

It has 993 star(s) with 274 fork(s). There are 66 watchers for this library.

It had no major release in the last 12 months.

There are 27 open issues and 36 have been closed. On average issues are closed in 16 days. There are 25 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of poker_ai is v1.0.0rc3

Quality

poker_ai has 0 bugs and 0 code smells.

Security

poker_ai has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

poker_ai code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

poker_ai has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

poker_ai releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 4343 lines of code, 296 functions and 92 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed poker_ai and discovered the below as its top functions. This is intended to give you an instant insight into poker_ai implemented functionality, and help decide if they suit your requirements.

Run a Terminal application
Rotate a list
Print the footer
Log a message
Calculates the possible combinations of all possible combinations of possible combinations
Remove a card from the deck
Serialise a single agent to a file
Calculate the strategy for the given info set
List of all flushes
Fill in a lookup table based on rank bits_init
Summarize the players played by the player
Load card information lut
Generate a numpy ndarray of potential potentials
Start the worker
Cluster river info
Start workers
Simulate turn_ehsribution
Send a job to all workers
Resume a server from a given server config file
Simulate RHS
Compute the score of a set of cards
Calculate the 7th scoring score
Update the player state
Takes a list of ints and returns a string
Perform a cfr flow
Update the card collection

Get all kandi verified functions for this library.

poker_ai Key Features

No Key Features are available at this moment for poker_ai.

poker_ai Examples and Code Snippets

No Code Snippets are available at this moment for poker_ai.

Community Discussions

Trending Discussions on poker_ai

Tf-Agents ParallelPyEnvironment fails silently

QUESTION

Tf-Agents ParallelPyEnvironment fails silently

Asked 2019-Aug-26 at 16:16

I have written a custom environment so I can play around with reinforcement learning (PPO) and tf-agents. This works fine if I wrap my env ( which inherits from py_environment.PyEnvironment) in a TfPyEnvironment, but fails if I try to wrap it into a ParallelPyEnvironment. I have tried playing around with all the keyword arguments of ParallelPyEnvironment but the code just runs up to the line and then nothing happens - no Exception, the program does not terminate etc.

Here is my code initialising the environment and showing off the working variant for the eval_env:

...

ANSWER

Answered 2019-Aug-26 at 16:16

The solution is to pass in callables, not environments, so the ParallelPyEnvironment can construct them itself:

Source https://stackoverflow.com/questions/57573540

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install poker_ai

You can install using 'pip install poker_ai' or download it from GitHub, PyPI.
You can use poker_ai 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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