doom-net-pytorch
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akolishchak
Reinforcement learning models in ViZDoom environment
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
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akolishchak
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Reinforcement learning models in ViZDoom environment