multi-agent reinforcement learning

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 Advancing Protein Design via Multi-Agent Reinforcement Learning with Pareto-Based Collaborative Optimization AAAI 2026 A Unified Framework for Locality in Scalable MARL L4DC 2026 Autonomous Partner Selection for Cooperative Multi-Agent Reinforcement Learning AAAI 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 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 Conditional Diffusion Model for Multi-Agent Dynamic Task Decomposition 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 Efficient Reinforcement Learning for Zero-Shot Coordination in Evolving Games AAAI 2026 End-to-End Optimization of LLM-Driven Multi-Agent Search Systems via Heterogeneous-Group-Based Reinforcement Learning ACL 2026 Explaining Decentralized Multi-Agent Reinforcement Learning Policies AAAI 2026 Exploiting Geometric Structures for Modeling Multi-Agent Behaviors: A New Thinking 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 HCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement Learning AAAI 2026 HHC: Hierarchical Hypergraph Communication for Multi-Agent Systems UAI 2026