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Multi-Agent Craftax: Benchmarking Open-Ended Multi-Agent Reinforcement Learning at the Hyperscale

Multi-Agent Craftax: Benchmarking Open-Ended Multi-Agent Reinforcement Learning at the Hyperscale

7 November 2025
Bassel Al Omari
Michael T. Matthews
Alexander Rutherford
Jakob N. Foerster
ArXiv (abs)PDFHTMLGithub (2★)

Papers citing "Multi-Agent Craftax: Benchmarking Open-Ended Multi-Agent Reinforcement Learning at the Hyperscale"

1 / 1 papers shown
Title
Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments
Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments
Riley Simmons-Edler
R. Badman
Felix Baastad Berg
Raymond Chua
John J. Vastola
Joshua Lunger
William Qian
K. Rajan
OffRL
230
3
0
08 Jun 2025
1