Reinforcement learning models in ViZDoom environment

Last update: Dec 09, 2022

Overview

DoomNet

DoomNet is a ViZDoom agent trained by reinforcement learning. The agent is a neural network that outputs a probability of actions given only pixels from the screen buffer and set of game variables.
DoomNet is a 1st Runner-Up at Visual Doom AI Competition 2018.

What a simple behavior tree can do

1st Runner-Up at Visual Doom AI Competition 2018

Visual Doom AI Competition 2017

Joint work with Bobby DeSimone

DoomNet's view is at left in the middle row

D3 Battle

Health Gathering

Rocket Basic

Basic

Owner

Andrey Kolishchak

GitHub Repository

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