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#doom#deepreinforcementlearning#vizdoom

AI Playing FPS: Full Deathmatch

Devendra Singh Chaplot

880 subscribers • 1 video on Hallway

YouTube
  • Recommended by 2 people: 1 on Lobsters and 1 in engineering communities.
  • Linked in the descriptionglample/ArnoldarXiv 1609.05521
  • May be out of date. Uploaded 10 years ago, in an area where tools change fast.

Intermediate. Assumes working knowledge.

266K views10 years ago2 recommendations

AI and machine learningGame developmentReinforcement learningGame programming

Devendra Singh Chaplot demonstrates an AI agent playing a Doom deathmatch using only raw pixel data and deep reinforcement learning.

This video is a demonstration of a computer program playing FPS Games using only raw pixel data. Refer to the following article for more details: Playing FPS Games with Deep Reinforcement Learning: arxiv.org/abs/1609.05521 Find the source code with pertained models at: github.com/glample/Arnold

Why it's here

2 people recommend this

What people say. Recommended as an impressive demonstration of deep reinforcement learning playing a 3D FPS game from raw pixels.

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On “I implemented a deep Q network to beat flappy birds hardest game | source code in the description”

Never heard of it, let me check it out. Edit: I would still call myself an amateur, but let me show you something. link to this video This is an AI playing DOOM and its pretty good. It gets fed on the raw input, basically what we as humans see when we play the game. So yes I think it is feasible.