#计算机科学#Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
翻译 - Reaver:模块化深度强化学习框架。专注于《星际争霸2》。支持Gym,Atari和MuJoCo。匹配参考结果。
This is a simple implementation of DeepMind's PySC2 RL agents.
Reinforcement learning framework to accelerate research
StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)
Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.
#大语言模型#LLM-PySC2 is NKAI Decision Team and NUDT Decision Team's Python component of the StarCraft II LLM Decision Environment. It exposes Deepmind's PySC2 Learning Environment API as a Python LLM Environment...
Implementing reinforcement-learning algorithms for pysc2 -environment
Curated list of pysc2 mini-games . Singleton Environmnets.Debugged by @SoyGema and mini-game authors
Data analysis of Starcraft II replays . Visualization and classification models
#计算机科学#StarCraft II Reinforcement Learning with Pytorch - Mini Games
Convert sc2 environment to gym-atari and play some mini-games
Applying the DQN-Agent from keras-rl to Starcraft 2 Learning Environment and modding it to to use the Rainbow-DQN algorithms.
Mini-games consisting of different scenarios in sc2 for use in training and testing StarCraft 2 bots
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 pro...