Visual Doom AI Competition
A platform for developing AI bots that play Doom using visual information, designed for reinforcement learning research.
What is Visual Doom AI Competition?
ViZDoom is an open-source platform for developing AI bots that play the 1993 game Doom using only visual information from the screen. It is built on the ZDoom engine and provides a customizable environment for research in machine visual learning and deep reinforcement learning. The platform allows researchers to train agents in complex, interactive scenarios to advance AI capabilities in perception and decision-making.
Researchers and developers in machine learning, particularly those focused on reinforcement learning, visual learning, and game AI who need a rich, performant environment for experimentation.
Developers choose ViZDoom for its high performance, ease of creating custom scenarios, and seamless integration with popular reinforcement learning frameworks like Gymnasium. Its unique selling point is providing a visually complex, game-based environment that is both lightweight and highly customizable for AI research.
Overview
Reinforcement Learning environments based on the 1993 game Doom :godmode:
Use Cases
Best For
- Training deep reinforcement learning agents with visual input
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