pysc2
lolgym
| pysc2 | lolgym | |
|---|---|---|
| 6 | 2 | |
| 7,915 | 8 | |
| 0.2% | - | |
| 3.1 | 1.8 | |
| 10 months ago | about 2 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
pysc2
- Project For Beginners [StarCraft 2 AI]
-
[D] What tool do you use for reinforcement learning experimentation?
Good evening, guys. I currently use StarCraft 2 as a tool for experimenting with my deep reinforcement learning projects, I have also used OpenAI Gym.
-
[D] Which GPU cloud do you use and recommend?
DRL experiments using StarCraft II Learning Environment.
- How A.I. Conquered Poker
-
Tips for a beginner
If you are looking to develop a machine-learning based bot you can go with pysc2: https://github.com/deepmind/pysc2
-
How AI works in big RTS games?
in terms of deepmind: https://github.com/deepmind/pysc2 source code if you want to take a look.
lolgym
-
[Discussion] League of Legends Reinforcement Learning Library - Interest
If you look at my previous posts, I have already created an RL environment for League of Legends v4.20 where other people have also taken the project and successfully trained agents which learn adversarially against each other here.
-
[D] What tool do you use for reinforcement learning experimentation?
The first one is an [OpenAI Gym library](https://github.com/MiscellaneousStuff/pylol) for an older version of League of Legends. [Another group](https://github.com/jjlee0802cu/lolgym) of researchers have created working adversarial agents for the environment (that learn to compete against other reaching a 50% win rate each but both improve, in a GAN-like manner).
What are some alternatives?
python-sc2 - A StarCraft II bot api client library for Python 3
gym - A toolkit for developing and comparing reinforcement learning algorithms.
lolgym - PyLoL OpenAI Gym Environments for League of Legends v4.20 RL Environment (LoLRLE)
pylol - League of Legends v4.20 RL Environment (LoLRLE)
smac - SMAC: The StarCraft Multi-Agent Challenge
tlol - TLoL - League of Legends Deep Learning AI (Research and Development)
Galaxy-Observer-UI - Toolset to create Observer Interfaces for StarCraft II / Heroes of the Storm. https://ahli.github.io/Galaxy-Observer-UI/#/
tlol-py - TLoL (Python Module) - League of Legends Deep Learning AI (Research and Development)
s2client-proto - StarCraft II Client - protocol definitions used to communicate with StarCraft II.
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms