Siim Põder (user "windo" on GitHub) for original toribash-evolver code.hampa and Dranix for invaluable help with configuring Toribash and lua scripts (also for developing the game in the first place!).It also helps us to see what people have been up to! = , We wouldn't mind a citation if you find ToriLLE useful in your work. Previous experiments at machine learning with Toribash:.experiments/: Codes used to run experiments in the white paper docs/: Detailed documentation of the inner workings examples/: Python examples on how to use this library toribash-codes/: Files required for Toribash to make this learning environment work torille/toribash: This will include stripped version of the Toribash game when installed from PyPi torille/: Python codes for the learning environment (inc. If you wish to modify ToriLLE or use other language to control Toribash instance, see hacking and documentation on protocol. DocumentationĮxamples in examples provide quickstart to how to use ToriLLE, and also show how to apply settings or Want to try your agents against human players in multiplayer? Check how manual remote control works. Note: Multiplayer does not work on Linux Wine! Provide path the installed toribash.exe when creating ToribashControl objects (if you use provided Python library).Toribash loads this file by default if it finds it, which may cause Note2: Starting with Toribash 5.4 / Steam version of Toribash, settings file is stored in under user's directory at.To revert most of the changes and use game normally again. Note: This will prevent using that specific installation as a regular game.Copy contents of toribash-codes to Toribash installation directory.Install Toribash (note: Only Steam version may be up to date).You can install ToriLLE without PyPI/pip with the following: reset () t = False # Random agent while not t : s, r, t, _ = env. set_draw_game ( True ) initial_state = env. make ( "Toribash-DestroyUke-v0" ) # Show gameplay env. OpenAI Gym environment: import gym import torille.envs env = gym. make_actions ( create_random_actions ()) toribash. init () # Random agent while 1 : state, t = toribash. Random agent: from torille import ToribashControl from torille.utils import create_random_actions # Show gameplay toribash = ToribashControl ( draw_game = True ) toribash. Make sure wine command is defined.įollowing will download ToriLLE with stripped down version of Toribash: pip install torille Remember to install Wine if you are on Linux or MacOS. Tested on Python versions 3.5 and 3.6, and will likely not work on 2.7. Tested to work on Windows 10, Ubuntu 16.04 and MacOS 10.13. Following white-paper includes baseline experiments and benchmarks conducted using ToriLLE: Requirements ToriLLE comes with a Python interface and pre-made OpenAI Gym environment with various tasks. Toribash provides environment for MuJoCo-like humanoid control, specifically aimed for competitive gameplay. ToriLLE provides learning agents an interface to video-game Toribash, a humanoid fighting game. Extra "L" to make words more memorable for Finns ("Torille" = "To the marketplace").
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