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Enhancing Deep Reinforcement Learning Approaches for Multi-Robot Navigation via Single-Robot Evolutionary Policy Search

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Multiagent Reinforcement Learning-Based Signal Planning for Resisting Congestion Attack in Green Transportation

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Value Functions Factorization With Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients

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A Study of AI Population Dynamics with Million-agent Reinforcement Learning

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Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable ModelsPreprint

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Variational Autoencoders for Opponent Modeling in Multi-Agent SystemsPreprint

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A Contrastive-Enhanced Ensemble Framework for Efficient Multi-Agent Reinforcement Learning

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A Scalable Deep Reinforcement Learning Algorithm for Partially Observable Pursuit-Evasion Game

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Hierarchical Mean-Field Deep Reinforcement Learning for Large-Scale Multiagent Systems

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Flexible Formation Control Using Hausdorff Distance: A Multi-agent Reinforcement Learning Approach

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Learning Stigmergic Communication for Self-organising Coordination

Mariani, S., & Zambonelli, F. (2023) · IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) · doi:10.1109/acsos58161.2023.00022 · Cited by 7

Hybrid Centralized Training and Decentralized Execution Reinforcement Learning in Multi-Agent Path-Finding Simulations

Chen, H.-C., Li, S., Chang, T.-H., Feng, H.-M., & Chen, Y.-C. (2024) · Applied Sciences · doi:10.3390/app14103960 · Cited by 7

Natural language does not emerge ‘naturally’ in multi-agent dialog

Kottur, S., Moura, J., Lee, S., & Batra, D. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d17-1321 · Cited by 164

Compositional properties of emergent languages in deep learningPreprint

Keresztury, B., & Bruni, E. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2001.08618 · Cited by 7

Compositional Grounded Language for Agent Communication in Reinforcement Learning Environment

Lannelongue, K., Milly, M. D., Marcucci, R., Selevarangame, S., Supizet, A., & Grincourt, A. (2019) · Journal of Autonomous Intelligence · doi:10.32629/jai.v2i3.56 · Cited by 1

Consensus from Ambiguity: Language Emergence in Guessing Games

Joseph, A. G., & Kumar, V. (2026) · Autonomous Agents and Multi-Agent Systems · doi:10.1007/s10458-026-09762-8

Emergent Compositional Communication from Epistemic Action Policies in Multi-Agent Environments

Mohammed, S. U. (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.20691226