robo-gym
rlcard
| robo-gym | rlcard | |
|---|---|---|
| 4 | 5 | |
| 371 | 2,709 | |
| 0.0% | 2.3% | |
| 0.0 | 6.2 | |
| about 2 years ago | 3 months ago | |
| Python | Python | |
| MIT License | MIT License |
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robo-gym
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Simulating robotic arm for object manipulation
what about robo-gym https://github.com/jr-robotics/robo-gym?
- Joanneum Research Institute Release Version 1.0.0 Of Robo-Gym, An Open Source Toolkit For Distributed Deep Reinforcement Learning On Real And Simulated Robots
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?
IsaacGymEnvs - Isaac Gym Reinforcement Learning Environments
gym - A toolkit for developing and comparing reinforcement learning algorithms.
drl_grasping - Deep Reinforcement Learning for Robotic Grasping from Octrees
open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
modelicagym - Modelica models integration with Open AI Gym
mjai-reviewer - 🔍🀄️ Review mahjong game log with mjai-compatible mahjong AI.
ai-economist - Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
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:
football - Check out the new game server:
MonsterHunterPortable3rdHDRemake - Personal fork of a texture upscaling project for PSP's Monster Hunter Portable 3rd
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.
shengji - An online version of shengji (a.k.a. tractor) and zhaopengyou (a.k.a. Finding Friends)