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Hands-On Reinforcement Learning for Games
book

Hands-On Reinforcement Learning for Games

by Micheal Lanham
January 2020
Intermediate to advanced
432 pages
10h 18m
English
Packt Publishing
Content preview from Hands-On Reinforcement Learning for Games

Installing Habitat

At the time of writing, Habitat was still a new product, but the documentation worked well to painlessly install and run an agent for training. In our next exercise, we walk through parts of that documentation to install and run a training agent in Habitat:

  1. Open an Anaconda command prompt and navigate to a clean folder. Use the following commands to download and install the Habitat:
git clone --branch stable git@github.com:facebookresearch/habitat-sim.git cd habitat-sim
  1. Then, create a new virtual environment and install the required dependencies with the following:
conda create -n habitat python=3.6 cmake=3.14.0 conda activate habitat pip install -r requirements.txt
  1. Next, we need to build the Habitat Sim with the ...
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Publisher Resources

ISBN: 9781839214936