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GitHub / roop-pal / Meta-Learning-for-StarCraft-II-Minigames
We reproduced DeepMind's results and implement a meta-learning (MLSH) agent which can generalize across minigames.
Stars: 26
Forks: 7
Open Issues: 0
License: None
Language: Python
Repo Size: 8.55 MB
Dependencies:
7
Created: about 6 years ago
Updated: almost 2 years ago
Last pushed: about 3 years ago
Last synced: about 1 year ago
Topics: deep-reinforcement-learning, minigames, multi-agent-learning, reinforcement-learning, sc2le, starcraft2, starcraft2-ai
Files
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Readme
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Dependencies
requirements.txt
pypi
- numpy =1.14.2
- pandas =0.22.0
- psutil =5.4.3
- pysc2 =1.2
- scipy =1.0.0
- tensorflow =1.5.0
- tensorflow-gpu =1.7.0