# Two physical robots deployed with decentralized multi-agent reinforcement learning for joint task assignment and navigation

- Source: Reddit r/robotics
- Published: 2026-10-20T23:17:02.000Z
- RoboHot: https://robohot.news/en/items/lipjdkncxvh08diba25juzlq7
- Original: https://www.reddit.com/r/robotics/comments/1xb79jo/we_deployed_decentralized_multiagent_rl_on_two/

## Summary

The authors deployed decentralized multi-agent reinforcement learning (MARL) on two physical robots for joint task assignment and navigation in a setting where multiple robots serve multiple production machines. Policies were first trained in high-fidelity simulation in Isaac Lab/Isaac Sim, then transferred zero-shot to the real robots via a self-built ROS 2 deployment pipeline. Paper: https://arxiv.org/abs/2609.14567.