plus-minus-zero
rlcard
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| plus-minus-zero | rlcard | |
|---|---|---|
| 1 | 5 | |
| 1 | 2,696 | |
| - | 3.8% | |
| 0.0 | 6.2 | |
| over 3 years ago | 3 months ago | |
| Scala | Python | |
| GNU Affero General Public License v3.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
plus-minus-zero
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In CPython, types implemented in C are part of the type tree
Hmm, now that I look at it my personal code is mostly gnarly functional libraries. https://github.com/m50d/plus-minus-zero/ is probably the project that's closest to something I'd do in Python, but I've still used a fancy reactive library and some functional tools for dealing with the explicit async futures.
(It's a quick calculator tool to compute your European Mahjong Associaton rank score based on your tournament results, and can import your existing results through some quick and dirty web scraping. The domain linked from github has expired, but it's running at https://adoring-khorana-c20461.netlify.app/ - Scala usually runs on the JVM but this build is set up to compile to JS and run in the browser).
rlcard
- [P] Looking for RL or rules-based No-Limit Hold 'Em Work
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Self play environments
Hi. I’ve decided to do a project to adapt an rl library to support self-play. This is a project so I can teach myself more about building rl systems. I’ve been considering working with the environment system from rlcard https://github.com/datamllab/rlcard/ but wonder if there are other more widely-used self play environment libraries. Thanks.
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[Project] Making a Poker AI - having trouble with the form of ML to make smart / strong decisions
Can you point me to some active forums for poker bot building? I can only find github repo like https://github.com/datamllab/rlcard, which is mostly reinforcement learning. Whereas SoTA approach like Pluribus is more about game theory.
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8+ Reinforcement Learning Project Ideas
Build a Poker bot with RLCard
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What sort of algorithm should I use ? Incomplete information, card game. (Flowchart for reference)
Probably the easiest way for you to get started is to implement your game on an open source RL framework that has working implementations of some basic CFR variations as well as some other self-play algorithms such as NFSP. OpenSpiel and RLCard are two that I am aware of. Depending on the complexity of your game and how strong your agent needs to play, you might be satisfied with the performance you get using by one of these frameworks.
What are some alternatives?
mjai-reviewer - 🔍🀄️ Review mahjong game log with mjai-compatible mahjong AI.
gym - A toolkit for developing and comparing reinforcement learning algorithms.
AlphaJong - A Mahjong AI for Mahjong Soul
open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
mahjong - Implementation of riichi mahjong related stuff (hand cost, shanten, agari end, etc.)
CPython - The Python programming language
Poker - Fully functional Pokerbot that works on PartyPoker, PokerStars and GGPoker, scraping tables with Open-CV (adaptable via gui) or neural network and making decisions based on a genetic algorithm and montecarlo simulation for poker equity calculation. Binaries can be downloaded with this link:
MonsterHunterPortable3rdHDRemake - Personal fork of a texture upscaling project for PSP's Monster Hunter Portable 3rd
shengji - An online version of shengji (a.k.a. tractor) and zhaopengyou (a.k.a. Finding Friends)
new-world-fishing-bot - user friendly python script who is able to catch fish in the game New World
ml-agents - The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.