MARGoS: A Configuration-Driven Platform for Reproducible MARL Experiments in ARGoS

cs.SE, cs.MA, cs.RO

Submitted: 2026-10-09

Updated: 2026-10-09

Comments: Submitted version (prior to peer review) of a paper published in the VARIABILITY 2026 Satellite Events proceedings (Project Showcase Track), LNCS 17104, Springer. 11 pages, 3 figures, 3 tables

Journal ref: Software and Systems Reuse, Product Lines, and Configuration - VARIABILITY 2026 Satellite Events, LNCS 17104, pp. 251-261, Springer (2027)

DOI: 10.1007/978-3-032-40421-3_24

Code: https://github.com/tombackert/margos

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 Minutes
• Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning

Related papers

• Falsification-Based Verification of LLM-Generated Optimization Models: Sound Test Batteries and Their Detection Limits
• GitSkills: A Dataset of Agent Skills on GitHub
• SABER: Benchmarking Operational Safety of LLM Coding Agents in Stateful Project Workspaces
• PackMonitor: Enabling Zero Package Hallucinations Through Decoding-Time Monitoring
• IntentCoding: Amplifying User Intent in Code Generation
• Incentives and Outcomes in Bug Bounties