[D] What tool do you use for reinforcement learning experimentation?

• pysc2

  6 7,904 3.1 Python

  StarCraft II Learning Environment

  

  Good evening, guys. I currently use StarCraft 2 as a tool for experimenting with my deep reinforcement learning projects, I have also used OpenAI Gym.

• gym

  96 33,846 0.0 Python

  A toolkit for developing and comparing reinforcement learning algorithms.

  

  Good evening, guys. I currently use StarCraft 2 as a tool for experimenting with my deep reinforcement learning projects, I have also used OpenAI Gym.

• InfluxDB

  www.influxdata.com

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• pylol

  3 15 3.6 Python

  League of Legends v4.20 RL Environment (LoLRLE)

  The first one is an [OpenAI Gym library](https://github.com/MiscellaneousStuff/pylol) for an older version of League of Legends. [Another group](https://github.com/jjlee0802cu/lolgym) of researchers have created working adversarial agents for the environment (that learn to compete against other reaching a 50% win rate each but both improve, in a GAN-like manner).

• lolgym

  2 7 1.8 Python

  PyLoL OpenAI Gym Environments for League of Legends v4.20 RL Environment (LoLRLE) (by jjlee0802cu)

  The first one is an [OpenAI Gym library](https://github.com/MiscellaneousStuff/pylol) for an older version of League of Legends. [Another group](https://github.com/jjlee0802cu/lolgym) of researchers have created working adversarial agents for the environment (that learn to compete against other reaching a 50% win rate each but both improve, in a GAN-like manner).

• tlol-py

  4 20 7.5 Python

  TLoL (Python Module) - League of Legends Deep Learning AI (Research and Development)

  The other one is a supervised learning / offline reinforcement learning [project](https://github.com/MiscellaneousStuff/tlol-py) which contains the only game playing [dataset](https://github.com/MiscellaneousStuff/tlol) for League of Legends (70 hours of gameplay).

• tlol

  3 31 5.6 Jupyter Notebook

  TLoL - League of Legends Deep Learning AI (Research and Development)

  The other one is a supervised learning / offline reinforcement learning [project](https://github.com/MiscellaneousStuff/tlol-py) which contains the only game playing [dataset](https://github.com/MiscellaneousStuff/tlol) for League of Legends (70 hours of gameplay).

Suggest a related project