eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels
No official code found. Best implementation: news-vt/eqmarl (13 stars, CC-BY-4.0, last commit 2025-10-06).
No official code found. Best implementation: news-vt/eqmarl (13 stars, CC-BY-4.0, last commit 2025-10-06).
This is the repository for the paper "eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels" published in ICLR 2025
DynaMind: Reasoning over Abstract Video Dynamics for Embodied Decision-Making
MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs
Generalization Principles for Inference over Text-Attributed Graphs with Large Language Models
FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction
3DCoMPaT200: Language Grounded Large-Scale 3D Vision Dataset for Compositional Recognition
SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis
@article{derieux2026eqmarl,
title = {eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels},
author = {Alexander C. DeRieux and Walid Saad},
year = {2026},
url = {https://api.semanticscholar.org/CorpusID:262516eea0cce4a3a1d296a70aed5474f5b16131},
journal = {ICLR 2025 2025}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/262516eea0cce4a3a1d296a70aed5474f5b16131)