StarCraft II Learning Environment
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Updated
Jul 23, 2024 - Python
StarCraft II Learning Environment
SMAC: The StarCraft Multi-Agent Challenge
A StarCraft II bot api client library for Python 3
Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)
Python library for reading MPQ archives.
Blender Addon to import and export m3 files
PySC2 OpenAI Gym Environments
StarCraft Casting Tool is a free to use open source program that makes casting StarCraft 2 simple while increasing the production value substantially by providing a match grabber and various sets of animated icons and browser sources to be shown to the viewer.
StarCraft 2 Imitation Learning
(AAAI'2019) The codes, models, logs, and data for an extended paper of the original paper "On Reinforcement Learning for Full-length Game of StarCraft". AAAI = AAAI Conference on Artificial Intelligence.
StarCraft II Reinforcement Learning with Pytorch - Mini Games
Framework for inspecting actions and observatinos in StarCraftII replays
Example code for PySC2
A StarCraft 2 agent for harvesting resources
(TG'2021) Code for paper "Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning". TG = Transactions on Games.
Code to do multi agent systems research on StarCraft II. It contains methods to deal with the Raw Interface from the SC2 API, which has not been officially adapted for Python. This means that, the programmer can now access the objects at the game and the 2D original representation of the map
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