Multi-Agent Systems

Achieving Equilibrium Under Utility Heterogeneity: An Agent-Attention Framework for Multi-Agent Multi-Objective Reinforcement Learning AAAI 2026 ADAPT: Adaptive Decentralized Architecture with Perception-Aligned Training for Structural Generalization in Multi-Agent RL AAAI 2026 Adaptive Regulation via Dual-Layer Evolution (ARDE): A Multi-Agent Approach to Balancing Efficiency, Fairness, and Diversity in Crowdsourced Platforms AAAI 2026 A Unified Framework for Locality in Scalable MARL L4DC 2026 Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning AAAI 2026 Beyond Rule-Based Agents: Active Markov Games for Realistic Multi-Agent Interaction in Autonomous Driving CVPR 2026 CAIC: Congestion-Aware Intent Communication for Multi-Agent Reinforcement Learning UAI 2026 CAMAR: Continuous Actions Multi-Agent Routing AAAI 2026 Causal Discovery for Efficient Offline RL with Factored Action Spaces CLeaR 2026 Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning AAAI 2026 Causal Process Models: Reframing Dynamic Causal Graph Discovery as a Reinforcement Learning Problem CLeaR 2026 Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning via Predictive Observation Imputation (Abstract Reprint) AAAI 2026 Communication-efficient Multi-Agent Reinforcement Learning with Spatiotemporal Information Hub AAAI 2026 Convergence of Fast Policy Iteration in Markov Games and Robust MDPs AAAI 2026 CtoD-MAT: Bridging Centralized and Decentralized Execution in Multi-Agent Reinforcement Learning (Student Abstract) AAAI 2026 Designing Incentives for Networked Multi-agent Systems AAAI 2026 Distributionally Robust Online Markov Game with Linear Function Approximation AAAI 2026 Efficient Multiagent Planning via Shared Action Suggestions AAAI 2026 Emergent Fast-Slow Dynamics in Multi-Agent Q-Learning for Networked Stochastic Games AAAI 2026 Explaining Decentralized Multi-Agent Reinforcement Learning Policies AAAI 2026 Fairness Aware Reinforcement Learning via Proximal Policy Optimization AAAI 2026 FD-MAGRPO: Functionality-Driven Multi-Agent Group Relative Policy Optimization for Analog-LDO Sizing AAAI 2026 Gradient-Protected Value Decomposition for Cooperative Multi-Agent Reinforcement Learning AAAI 2026 GRDC: A Unified Graph-Driven Framework for Role Discovery and Communication in Multi-Agent Reinforcement Learning AAAI 2026 GRIP: Latent Field-Guided Graph Policy for Budget-Constrained Multi-Agent Routing AAAI 2026