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Reinforcement Learning
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Multi-Agent Systems
948 directly classified papers
Papers per year
2004: 1
2005: 1
2006: 1
2007: 2
2008: 3
2009: 3
2011: 3
2012: 2
2013: 9
2014: 3
2015: 4
2016: 5
2017: 21
2018: 30
2019: 66
2020: 101
2021: 110
2022: 135
2023: 183
2024: 138
2025: 83
2026: 44
Papers
Reinforcement Learning with Fuzzy Human Attention-Guided Graph for Heterogeneous Multiagent Systems
AAAI 2026
GRIP: Latent Field-Guided Graph Policy for Budget-Constrained Multi-Agent Routing
AAAI 2026
Communication-efficient Multi-Agent Reinforcement Learning with Spatiotemporal Information Hub
AAAI 2026
MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
AAAI 2026
Distributionally Robust Online Markov Game with Linear Function Approximation
AAAI 2026
Emergent Fast-Slow Dynamics in Multi-Agent Q-Learning for Networked Stochastic Games
AAAI 2026
Convergence of Fast Policy Iteration in Markov Games and Robust MDPs
AAAI 2026
Offline Fictitious Self-Play for Competitive Games
AAAI 2026
FD-MAGRPO: Functionality-Driven Multi-Agent Group Relative Policy Optimization for Analog-LDO Sizing
AAAI 2026
Fairness Aware Reinforcement Learning via Proximal Policy Optimization
AAAI 2026
Many Minds, One Path: LLM-Augmented Consensus Decision for Distributed Control in Multi-Agent Collaborative Stable Scenarios
AAAI 2026
ADAPT: Adaptive Decentralized Architecture with Perception-Aligned Training for Structural Generalization in Multi-Agent RL
AAAI 2026
Efficient Multiagent Planning via Shared Action Suggestions
AAAI 2026
GRDC: A Unified Graph-Driven Framework for Role Discovery and Communication in Multi-Agent Reinforcement Learning
AAAI 2026
Multi-Agent Pointer Transformer: Seq-to-Seq Reinforcement Learning for Multi-Vehicle Dynamic Pickup-Delivery Problems
AAAI 2026
Explaining Decentralized Multi-Agent Reinforcement Learning Policies
AAAI 2026
Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning
AAAI 2026
MARS: A Meta-Adaptive Reinforcement Learning Framework for Risk-Aware Multi-Agent Portfolio Management
AAAI 2026
Gradient-Protected Value Decomposition for Cooperative Multi-Agent Reinforcement Learning
AAAI 2026
Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning
AAAI 2026
Multi-agent In-context Coordination via Decentralized Memory Retrieval
AAAI 2026
Partial Action Replacement: Tackling Distribution Shift in Offline MARL
AAAI 2026
TMAE:Learning Targeted Multi-Agent Exploration via Causal Inference
AAAI 2026
Soft Conflict-Resolution Decision Transformer for Offline Multi-Task Reinforcement Learning
AAAI 2026
Learning to Cooperate with Minimal Observability
AAAI 2026
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