Skip to content
#

multi-agent-learning

Here are 18 public repositories matching this topic...

VectorizedMultiAgentSimulator

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

  • Updated Oct 9, 2024
  • Python

Multiplayer Game, Security, DF Service Implementation, Genetic Algorithm Implementation, Multi-Agent Systems Enhanced With Q-Learning Implementation For Improved Decision-Making.

  • Updated Jun 9, 2023
  • Java

Improve this page

Add a description, image, and links to the multi-agent-learning topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the multi-agent-learning topic, visit your repo's landing page and select "manage topics."

Learn more