Wave-Defense-Learning-Environment
rlcard
| Wave-Defense-Learning-Environment | rlcard | |
|---|---|---|
| 1 | 5 | |
| 13 | 2,719 | |
| - | 2.6% | |
| 10.0 | 6.2 | |
| over 1 year ago | 3 months ago | |
| Python | Python | |
| MIT License | MIT License |
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Wave-Defense-Learning-Environment
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A new gym-like learning environment for learning from pixels! [Wave Defense]
Just sharing that I just published a new learning environment for reinforcement learning agents to learn policies from pixels. The Wave Defense Learning Environment is useful for debugging new implementations and algorithms the image-based settings (a decent algorithm should solve the environment).
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?
gym-mtsim - A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)
gym - A toolkit for developing and comparing reinforcement learning algorithms.
MuJoCo_RL_UR5 - A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.
open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
mjai-reviewer - 🔍🀄️ Review mahjong game log with mjai-compatible mahjong AI.
Wave-Defense-Baselines
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:
gym-pybullet-drones - PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
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