Dota2 Gym Environment

Straight forward API with full bot take over

from luafun.dotaenv import dota2_environment

env = dota2_environment('mid1v1')
env.render()

with env:
    state = env.initial()

    # Draft here if enabled
    while env.running:
        # env.step(select_hero)
        break

    env.wait_end_draft()

    # Play the game
    while env.running:
        # Start issuing orders here
        action = env.action_space.sample()

        # take a random action
        obs, reward, done, info = env.step(action)

You can call that code by simply executing the command below

luafun --render --speed 1

Dota2 is the ultimate RL environment

• Long Time Horizons (40+ minutes)

• Partially observed state

• High dimensional action and observation spaces

• Multiple strategies to solve the game

• Multiple challenge in a single game (drafting + playing)

• Agents needs to cooperate to win

• trade off between multiple objectives to achieve victory

Luafun comes with a full training pipeline even basic models are available, so you can focus on your research and not writing code.

• Drafting: select 5 and ban 7 heroes among 120+ heroes to counter you enemy and give you the advantage in lane

• Playing chose between 25 base base actions to take, 40 abilities to use, 100+ items to buy.

Features

• Full bot take over

• Full drafting capabilities

• Integration tested

• No scripted logic

• Humans can play with bots (the game have to be launched from python)

Getting Started

• Installation
• Player Interaction

API

• Drafting
• Dota Options
• DotaEnv
• Actions
• Observation
• Reward
• Draft State
• Model
• Constants
• Training
• Performance

@software{pierre_delaunay_2021_4514210,
  author       = {Pierre Delaunay},
  title        = {{LuaFun a complete RL training environment for
                   dota2}},
  month        = feb,
  year         = 2021,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.4514210},
  url          = {https://doi.org/10.5281/zenodo.4514210}
}