Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
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Updated
Nov 1, 2020 - Python
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.
StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)
Reinforcement learning framework to accelerate research
PySC2 OpenAI Gym Environments
Implementing reinforcement-learning algorithms for pysc2 -environment
Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.
Data analysis of Starcraft II replays . Visualization and classification models
A modular Deep Reinforcement Learning library that supports multiple environments, made with Python 3.6.
Applying the DQN-Agent from keras-rl to Starcraft 2 Learning Environment and modding it to to use the Rainbow-DQN algorithms.
StarCraft II Reinforcement Learning with Pytorch - Mini Games
Mini-games consisting of different scenarios in sc2 for use in training and testing StarCraft 2 bots
Curated list of pysc2 mini-games . Singleton Environmnets.Debugged by @SoyGema and mini-game authors
DRL algorithms for Starcraft II
implementing deep learning in starcraft 2 with an aim to create an ai model which can learn to take its own strategic decisions for winning the game
StarCraft II Data Analytics
Convert sc2 environment to gym-atari and play some mini-games
PySC2 Reinforcement Learning Agents
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