Updated 6 months ago
vmas
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 6 months ago
ReMobidyc
web based multi-agent simulator for individual-based modeling in population dynamics and ecotoxicology
Updated 6 months ago
tapeagents
TapeAgents is a framework that facilitates all stages of the LLM Agent development lifecycle