blackjack-counter
rlcard
| blackjack-counter | rlcard | |
|---|---|---|
| 2 | 5 | |
| 1 | 3,087 | |
| - | 2.2% | |
| 4.0 | 2.6 | |
| almost 2 years ago | 10 months ago | |
| JavaScript | Python | |
| - | MIT License |
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blackjack-counter
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?
Blackjack-Strategy-Simulator - 🃏Blackjack Simulator: basic strategy generation, best move analysis, expected value (EV) calculation. With card counting, deviations & multiple rulesets. Multithreaded.
gym - A toolkit for developing and comparing reinforcement learning algorithms.
MGPs-BJ-CA - MGPs Blackjack Combinatorial Analysis. Exact calculations including splits and insurance.
open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
blackjack-simulator - 🃏 Realistic blackjack simulator (practice card counting using Hi-Lo and calculate EV for any table conditions)
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.