pysc2
lolgym
| pysc2 | lolgym | |
|---|---|---|
| 6 | 1 | |
| 7,915 | 22 | |
| 0.2% | - | |
| 3.1 | 0.0 | |
| 10 months ago | over 2 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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pysc2
- Project For Beginners [StarCraft 2 AI]
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[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.
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[D] Which GPU cloud do you use and recommend?
DRL experiments using StarCraft II Learning Environment.
- How A.I. Conquered Poker
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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
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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
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[P] League of Legends v4.20 (OpenAI Gym Env): PPO Optimization in Google Colab
LolGym (LoL OpenAI Gym Environment): GitHub
What are some alternatives?
python-sc2 - A StarCraft II bot api client library for Python 3
LeagueSandbox-RL-Learning - Modified version of the LeagueSandbox project which relies on a Redis server to accept actions and send observations. Intended for reinforcement learning within v4.20 League of Legends.
smac - SMAC: The StarCraft Multi-Agent Challenge
Galaxy-Observer-UI - Toolset to create Observer Interfaces for StarCraft II / Heroes of the Storm. https://ahli.github.io/Galaxy-Observer-UI/#/
gym - A toolkit for developing and comparing reinforcement learning algorithms.
s2client-proto - StarCraft II Client - protocol definitions used to communicate with StarCraft II.
pylol - League of Legends v4.20 RL Environment (LoLRLE)
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
mtg - State of the Art Magic: the Gathering Draft and DeckBuilder AI.
dmc2gymnasium - Gymnasium integration for the DeepMind Control (DMC) suite
tlol - TLoL - League of Legends Deep Learning AI (Research and Development)
megastep - megastep helps you build 1-million FPS reinforcement learning environments on a single GPU