#计算机科学#Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
This is a simple implementation of DeepMind's PySC2 RL agents.
Reinforcement learning framework to accelerate research
#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...
StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)
Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.
Implementing reinforcement-learning algorithms for pysc2 -environment
#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.
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...
DRL algorithms for Starcraft II
Generative-Adversarial-Imitation-Learning on PySC2
#计算机科学#Starcraft II Agents using PySC2 - StarCraft II Learning Environment