DeepMind Lab2D
Charles Beattie, Thomas K\"oppe, Edgar A. Du\'e\~nez-Guzm\'an, Joel Z., Leibo
TL;DR
DeepMind Lab2D is a scalable environment simulator designed to support AI research, especially in multi-agent deep reinforcement learning, enabling flexible environment design and experimentation.
Contribution
It introduces a new, flexible simulation platform tailored for multi-agent deep reinforcement learning research, addressing specific needs in environment customization.
Findings
Supports complex multi-agent environments
Facilitates researcher-led environment design
Enhances scalability for large-scale experiments
Abstract
We present DeepMind Lab2D, a scalable environment simulator for artificial intelligence research that facilitates researcher-led experimentation with environment design. DeepMind Lab2D was built with the specific needs of multi-agent deep reinforcement learning researchers in mind, but it may also be useful beyond that particular subfield.
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Taxonomy
TopicsData Stream Mining Techniques · Scientific Computing and Data Management · Mobile Crowdsensing and Crowdsourcing