# Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning

arXiv: https://arxiv.org/abs/2605.10482 · HTML: https://mlsanity.com/paper/2605.10482/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 14 of its 21 references that are in the map.
- First posted on arXiv 11 May 2026.

## Builds on (most cited first, 14 of 14)

- [High-Dimensional Continuous Control Using Generalized Advantage Estimation](https://mlsanity.com/paper/1506.02438/) (2015)
- [Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?](https://mlsanity.com/paper/2011.09533/) (2020)
- [PettingZoo: Gym for Multi-Agent Reinforcement Learning](https://mlsanity.com/paper/2009.14471/) (2020)
- [Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates](https://mlsanity.com/paper/2101.05436/) (2021)
- [Learning Transferable Cooperative Behavior in Multi-Agent Teams](https://mlsanity.com/paper/1906.01202/) (2019)
- [Deep Reinforcement Learning for Event-Triggered Control](https://mlsanity.com/paper/1809.05152/) (2018)
- [DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling](https://mlsanity.com/paper/1803.02998/) (2018)
- [Learning Event-triggered Control from Data through Joint Optimization](https://mlsanity.com/paper/2008.04712/) (2020)
- [Event-Triggered Model Predictive Control with Deep Reinforcement Learning for Autonomous Driving](https://mlsanity.com/paper/2208.10302/) (2022)
- [Machine Learning in Event-Triggered Control: Recent Advances and Open Issues](https://mlsanity.com/paper/2009.12783/) (2020)
- [Wireless Control for Smart Manufacturing: Recent Approaches and Open Challenges](https://mlsanity.com/paper/2010.09087/) (2020)
- [Deep reinforcement learning of event-triggered communication and consensus-based control for distributed cooperative transport](https://mlsanity.com/paper/2212.01958/) (2022)
- [Scaling Beyond Bandwidth Limitations: Wireless Control With Stability Guarantees Under Overload](https://mlsanity.com/paper/2104.07989/) (2021)
- [Predictive Triggering for Distributed Control of Resource Constrained Multi-agent Systems](https://mlsanity.com/paper/1907.12300/) (2019)

## Abstract (arXiv)

Event-triggered control provides a mechanism for avoiding excessive use of constrained communication bandwidth in networked multi-agent systems. However, most existing methods rely on accurate system models, which may be unavailable in practice. In this work, we propose a model-free, priority-driven reinforcement learning algorithm that learns communication priorities and control policies jointly from data in decentralized multi-agent systems. By learning communication priorities, we circumvent the hybrid action space typical in event-triggered control with binary communication decisions. We evaluate our algorithm on benchmark tasks and demonstrate that it outperforms the baseline method.