ns3-gym
rlcard
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| ns3-gym | rlcard | |
|---|---|---|
| 3 | 5 | |
| 490 | 2,696 | |
| 3.5% | 3.8% | |
| 3.7 | 6.2 | |
| 7 months ago | 3 months ago | |
| C++ | Python | |
| GNU General Public License v3.0 only | MIT License |
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ns3-gym
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Help in identifying the algorithm used in RL code
This is the GitHub link for the project code
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Help in installing ns3-gym
https://github.com/tkn-tub/ns3-gym/tree/master/src/opengym/model/ns3gym The folder it mentions is right here
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Help in installing ns-3 gym
Hello people. I'm new to this sub, I am trying to learn to work on ns-3 gym, the framework which helps in integrating openAigym and ns-3, by following the steps given here. But in the fourth step it says to install ns3gym from the src folder, the issue is that I'm not able to find the openaigym folder inside the src folder.
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?
RL-TCP - Reinforcement Learning based TCP congestion control
gym - A toolkit for developing and comparing reinforcement learning algorithms.
whitefield - Whitefield provides a simulation environment for wireless sensor networks by combining RF simulation provided by NS3 and network stack provided by popular IoT OSes such as Contiki/RIOT/OpenThread.
open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
spot_mini_mini - Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.
mjai-reviewer - 🔍🀄️ Review mahjong game log with mjai-compatible mahjong AI.
modelicagym - Modelica models integration with Open AI Gym
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:
envpool - C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
MonsterHunterPortable3rdHDRemake - Personal fork of a texture upscaling project for PSP's Monster Hunter Portable 3rd
pyTORCS-docker - Docker-based, gym-like torcs environment with vision.
shengji - An online version of shengji (a.k.a. tractor) and zhaopengyou (a.k.a. Finding Friends)