Emergence of Grounded Compositional Language in Multi-Agent Populations

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Learning to Communicate with Deep Multi-Agent Reinforcement Learning

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Camouflage Adversarial Attacks on Multi-Agent Reinforcement Learning Systems

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Adaptive Confidence and Credibility-Aware Advising for Robust Ad Hoc Teamwork

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Coordinated Q-Functionals

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Privacy Preserving for Peer-to-Peer Communication in Multi-Agent Reinforcement Learning

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Improving the Efficiency and Scalability of Multi-agent Reinforcement Learning via Graph-Action Interaction Networks

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Multi-Agent Multi-Objective Reinforcement Learning for Intelligent Cloud Migration Planning: a Comprehensive Framework With Explainable Decision Support

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A graph-based safe reinforcement learning method for multi-agent cooperation

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The Utility and Implementation of Explicit Commands for Ad-Hoc Coordination

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TPGCA: Transferable Policy Generation and Credit Assignment Network for Cooperative Multiagent Reinforcement Learning

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Analyse d'opinion dans les interactions orales

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Automatic Curriculum Learning for Developmental Machine Learners

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Emerging linguistic universals in communicating neural network agents

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Deep learning models and algorithms for sequential data problems : applications to language modelling and uncertainty quantification

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MAGPIE: Utilizing Agent-Specific Preferences for Multi-Agent Reinforcement Learning

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Research on Multi-agent Game Methods Based on the Cournot Duopoly Strategy Model

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Scaling Up Multi-Agent Reinforcement Learning for Large Agent Teams and Long-Horizon Tasks: A Survey

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CTC: The Composite Task Challenge for Cooperative Multi-Agent Reinforcement LearningPreprint

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Multi-Agv Control System for Cooperative Tasks in Warehouses Based on Multi-Agent Reinforcement Learning

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In Pursuit of the Emergence Point: Extracting Phase Transitions in Multi-Agent Communication

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Control of Self-organizing Robots using Multi-agent Deep Reinforcement Learning

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Impact of Architectural Heterogeneity and Reward Design on Coordination in IPPO-Based Multi-Agent Systems for Sequential SAR Tasks

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SCALE-COMM: Shared, Contrastively-Aligned Latent Embeddings for MARL Communication

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Consensus from Ambiguity: Language Emergence in Guessing Games

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Safety-aware multi-robot coordination in industrial cyber-physical systems using potential fields and handcrafted communication

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Collaborative Coverage of Heterogeneous Unmanned Swarms Based on Deep Reinforcement Learning in Signal Interference Environments

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Communicating with AI? Wittgenstein’s Lion and the Problem of Cross-Species Communication

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Hierarchical Multi-Agent Systems with Dynamic Task Decomposition: A Novel Adaptive Framework

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A Review of Emergent Communication in Multi-Agent Reinforcement Learning: Causal Reasoning, Communication Repair, and Adaptation

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

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Compositional properties of emergent languages in deep learningPreprint

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Compositional Grounded Language for Agent Communication in Reinforcement Learning Environment

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Consensus from Ambiguity: Language Emergence in Guessing Games

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

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