StarCraft II Learning Environment
-
Updated
May 2, 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.
PySC2 OpenAI Gym Environments
Blender Addon to import and export m3 files
StarCraft 2 Imitation Learning
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 II Reinforcement Learning with Pytorch - Mini Games
(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.
Framework for inspecting actions and observatinos in StarCraftII replays
Example code for PySC2
A StarCraft 2 agent for harvesting resources
DRL algorithms for Starcraft II
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
Add a description, image, and links to the starcraft-ii topic page so that developers can more easily learn about it.
To associate your repository with the starcraft-ii topic, visit your repo's landing page and select "manage topics."