JaxMARL: Multi-Agent RL Environments and Algorithms in JAX.

Alexander Rutherford Benjamin Ellis Matteo Gallici Jonathan Cook Andrei Lupu Garðar Ingvarsson Timon Willi Akbir Khan Christian Schröder de Witt Alexandra Souly Saptarashmi Bandyopadhyay Mikayel Samvelyan Minqi Jiang Robert T. Lange Shimon Whiteson Bruno Lacerda Nick Hawes Tim Rocktäschel Chris Lu Jakob N. Foerster

Published in: AAMAS (2024)

Keyphrases

multi agent
reinforcement learning
theoretical analysis
learning algorithm
computational complexity
significant improvement
computational cost
optimization problems
times faster
data sets
cooperative
evolutionary algorithm
computationally efficient
machine learning algorithms
orders of magnitude