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A collection of baselines for the MineRL environment/datasets & the NeurIPS 2019 MineRL competition
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README.md

MineRL Baselines

Towards Solving AI in Open World Environments

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This repository contains baselines for various environments in the minerl python package as well as baseline submissions for the MineRL Competition on Sample Efficicent RL @ NeurIPS 2019.

Using the Baselines

The repository is broken up into two main folders:

competition/ # Baseline submissions for NeurIPS comp (MineRLObtainDiamond-v0)
   random_agent/ # git submodule, forks minerllabs/aicrowd_submission_template
   dqn_baseline/ # git submodule, forks ^^
   [...]

general/ # General baselines for the 6+ `minerl` environments!
   chainerrl/ # Baselines written in the Chainer RL framework
   [...]

To get started, do the following:

  1. Install the minerl python package: http://www.minerl.io/docs/tutorials/index.html
    • Install JDK 8
    • Install the MineRL Pacakge
      pip3 install --upgrade minerl
      
  2. Clone the baselines recursively:
    git clone https://github.com/minerllabs/baselines.git --recurse-submodules 
    
  3. Check out the baselines in competition/ and general/!

That's all! :)

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