{"total":94,"rows":[{"id":"2101.04233","title":"Independent Policy Gradient Methods for Competitive Reinforcement Learning","created":"2021-01-11","cited_by_count":101,"area":null},{"id":"2106.02748","title":"Decentralized Q-Learning in Zero-sum Markov Games","created":"2021-06-04","cited_by_count":58,"area":null},{"id":"2107.04050","title":"Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning","created":"2021-07-08","cited_by_count":38,"area":null},{"id":"2103.05115","title":"Deep reinforcement learning in medical imaging: A literature review","created":"2021-03-05","cited_by_count":34,"area":null},{"id":"2110.13484","title":"Applications of Multi-Agent Reinforcement Learning in Future Internet: A Comprehensive Survey","created":"2021-10-26","cited_by_count":34,"area":null},{"id":"2312.10256","title":"Multi-agent Reinforcement Learning: A Comprehensive Survey","created":"2023-12-15","cited_by_count":33,"area":null},{"id":"2101.03864","title":"Deep Interactive Bayesian Reinforcement Learning via Meta-Learning","created":"2021-01-11","cited_by_count":29,"area":null},{"id":"2107.00200","title":"Social Coordination and Altruism in Autonomous Driving","created":"2021-07-01","cited_by_count":28,"area":"driving"},{"id":"2110.01411","title":"Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey","created":"2021-09-28","cited_by_count":28,"area":null},{"id":"2503.13415","title":"A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives","created":"2025-03-17","cited_by_count":27,"area":"agents"},{"id":"2105.08158","title":"The Confluence of Networks, Games and Learning","created":"2021-05-17","cited_by_count":26,"area":null},{"id":"2205.15023","title":"Scalable Multi-Agent Model-Based Reinforcement Learning","created":"2022-05-25","cited_by_count":25,"area":null},{"id":"2110.08229","title":"Influencing Towards Stable Multi-Agent Interactions","created":"2021-10-05","cited_by_count":24,"area":null},{"id":"2302.06205","title":"Order Matters: Agent-by-agent Policy Optimization","created":"2023-02-13","cited_by_count":24,"area":null},{"id":"2102.12560","title":"PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning","created":"2021-02-24","cited_by_count":23,"area":null},{"id":"2109.12286","title":"Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms","created":"2021-09-25","cited_by_count":19,"area":null},{"id":"2203.03535","title":"Influencing Long-Term Behavior in Multiagent Reinforcement Learning","created":"2022-03-07","cited_by_count":18,"area":null},{"id":"2109.06795","title":"ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation","created":"2021-09-14","cited_by_count":17,"area":null},{"id":"2111.04051","title":"Coordinated Proximal Policy Optimization","created":"2021-11-07","cited_by_count":16,"area":null},{"id":"2202.00881","title":"Robustness and Adaptability of Reinforcement Learning based Cooperative Autonomous Driving in Mixed-autonomy Traffic","created":"2022-02-02","cited_by_count":15,"area":"driving"},{"id":"2209.14344","title":"Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning","created":"2022-09-28","cited_by_count":14,"area":null},{"id":"2201.01448","title":"Conditional Imitation Learning for Multi-Agent Games","created":"2022-01-05","cited_by_count":13,"area":"offlinerl"},{"id":"2205.01423","title":"Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration","created":"2022-05-03","cited_by_count":12,"area":null},{"id":"2110.04638","title":"Satisficing Paths and Independent Multi-Agent Reinforcement Learning in Stochastic Games","created":"2021-10-09","cited_by_count":9,"area":null},{"id":"2506.19846","title":"HiMA-Ecom: Enabling Joint Training of Hierarchical Multi-Agent E-commerce Assistants","created":"2025-06-24","cited_by_count":9,"area":"agents"},{"id":"2110.00121","title":"Emergence of Theory of Mind Collaboration in Multiagent Systems","created":"2021-09-30","cited_by_count":8,"area":null},{"id":"2203.12705","title":"RILI: Robustly Influencing Latent Intent","created":"2022-03-23","cited_by_count":8,"area":null},{"id":"2511.19368","title":"LLM-Driven Stationarity-Aware Expert Demonstrations for Multi-Agent Reinforcement Learning in Mobile Systems","created":"2025-11-24","cited_by_count":8,"area":"agents"},{"id":"2106.06828","title":"A Game-Theoretic Approach to Multi-Agent Trust Region Optimization","created":"2021-06-12","cited_by_count":7,"area":null},{"id":"2310.07745","title":"Deep Reinforcement Learning for Autonomous Cyber Defence: A Survey","created":"2023-10-11","cited_by_count":7,"area":null},{"id":"2102.10616","title":"Dealing with Non-Stationarity in MARL via Trust-Region Decomposition","created":"2021-02-21","cited_by_count":5,"area":null},{"id":"2111.01100","title":"Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent Environments","created":"2021-11-01","cited_by_count":5,"area":null},{"id":"2211.15414","title":"Dynamic Collaborative Multi-Agent Reinforcement Learning Communication for Autonomous Drone Reforestation","created":"2022-11-14","cited_by_count":5,"area":null},{"id":"2212.09586","title":"Learning Latent Representations to Co-Adapt to Humans","created":"2022-12-19","cited_by_count":5,"area":null},{"id":"2311.05546","title":"Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization","created":"2023-11-09","cited_by_count":5,"area":null},{"id":"2312.13435","title":"The Adaptive Arms Race: Redefining Robustness in AI Security","created":"2023-12-20","cited_by_count":5,"area":null},{"id":"2106.05402","title":"Deception in Social Learning: A Multi-Agent Reinforcement Learning Perspective","created":"2021-06-09","cited_by_count":4,"area":null},{"id":"2111.15611","title":"The Power of Communication in a Distributed Multi-Agent System","created":"2021-11-30","cited_by_count":4,"area":null},{"id":"2303.00177","title":"Finite-sample Guarantees for Nash Q-learning with Linear Function Approximation","created":"2023-03-01","cited_by_count":4,"area":null},{"id":"2305.14223","title":"Co-Learning Empirical Games and World Models","created":"2023-05-23","cited_by_count":4,"area":"wm"},{"id":"2308.03239","title":"Unsynchronized Decentralized Q-Learning: Two Timescale Analysis By Persistence","created":"2023-08-07","cited_by_count":4,"area":null},{"id":"2410.18636","title":"Multi-agent cooperation through learning-aware policy gradients","created":"2024-10-24","cited_by_count":4,"area":null},{"id":"2411.07362","title":"Factorised Active Inference for Strategic Multi-Agent Interactions","created":"2024-11-11","cited_by_count":4,"area":null},{"id":"2102.12307","title":"Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments","created":"2021-02-24","cited_by_count":3,"area":null},{"id":"2103.04666","title":"Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control","created":"2021-03-08","cited_by_count":3,"area":null},{"id":"2204.11350","title":"Collaborative Auto-Curricula Multi-Agent Reinforcement Learning with Graph Neural Network Communication Layer for Open-ended Wildfire-Management Resource Distribution","created":"2022-04-24","cited_by_count":3,"area":null},{"id":"2210.02205","title":"Game Theoretic Rating in N-player general-sum games with Equilibria","created":"2022-10-05","cited_by_count":3,"area":null},{"id":"2403.07005","title":"Multi-Agent Reinforcement Learning with a Hierarchy of Reward Machines","created":"2024-03-08","cited_by_count":3,"area":null},{"id":"2411.06601","title":"OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control","created":"2024-11-10","cited_by_count":3,"area":"offlinerl"},{"id":"2206.00113","title":"BRExIt: On Opponent Modelling in Expert Iteration","created":"2022-05-31","cited_by_count":2,"area":null},{"id":"2303.02265","title":"Learning to Influence Human Behavior with Offline Reinforcement Learning","created":"2023-03-03","cited_by_count":2,"area":"offlinerl"},{"id":"2307.08794","title":"Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning","created":"2023-07-17","cited_by_count":2,"area":null},{"id":"2407.10207","title":"Learning to Steer Markovian Agents under Model Uncertainty","created":"2024-07-14","cited_by_count":2,"area":null},{"id":"2408.13750","title":"Multi-Agent Target Assignment and Path Finding for Intelligent Warehouse: A Cooperative Multi-Agent Deep Reinforcement Learning Perspective","created":"2024-08-25","cited_by_count":2,"area":null},{"id":"2507.14995","title":"LLM-Enhanced Multi-Agent Reinforcement Learning with Expert Workflow for Real-Time P2P Energy Trading","created":"2025-07-20","cited_by_count":2,"area":"agents"},{"id":"2507.23604","title":"Hierarchical Message-Passing Policies for Multi-Agent Reinforcement Learning","created":"2025-07-31","cited_by_count":2,"area":null},{"id":"2605.14212","title":"MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning","created":"2026-05-14","cited_by_count":2,"area":null},{"id":"2606.10389","title":"Beyond Static Evaluation: Co-Evolutionary Mechanisms for LLM-Driven Strategy Evolution in Adversarial Games","created":"2026-06-09","cited_by_count":2,"area":null},{"id":"2211.11616","title":"Learning Heterogeneous Agent Cooperation via Multiagent League Training","created":"2022-11-13","cited_by_count":1,"area":null},{"id":"2502.06963","title":"Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures","created":"2025-02-10","cited_by_count":1,"area":"deeprl"},{"id":"2506.07548","title":"Overcoming Environmental Meta-Stationarity in MARL via Adaptive Curriculum and Counterfactual Group Advantage","created":"2025-06-09","cited_by_count":1,"area":null},{"id":"2506.13113","title":"Dynamic Reinsurance Treaty Bidding via Multi-Agent Reinforcement Learning","created":"2025-06-16","cited_by_count":1,"area":null},{"id":"2507.09495","title":"GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective","created":"2025-07-13","cited_by_count":1,"area":null},{"id":"2507.10142","title":"Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review","created":"2025-07-14","cited_by_count":1,"area":null},{"id":"2602.16301","title":"Multi-agent cooperation through in-context co-player inference","created":"2026-02-18","cited_by_count":1,"area":null},{"id":"2603.06813","title":"Reinforcing the World's Edge: A Continual Learning Problem in the Multi-Agent-World Boundary","created":"2026-03-06","cited_by_count":1,"area":null},{"id":"2604.14564","title":"MARS$^2$: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation","created":"2026-04-16","cited_by_count":1,"area":null},{"id":"2606.03237","title":"Solipsistic Superintelligence is Unlikely to be Cooperative","created":"2026-06-02","cited_by_count":1,"area":null},{"id":"2608.18092","title":"Position: Multi-Agent Systems Should Prioritize Concurrency Control","created":"2026-06-06","cited_by_count":1,"area":"agents"},{"id":"2103.09520","title":"Decentralized Reinforcement Learning for Multi-Target Search and Detection by a Team of Drones","created":"2021-03-17","cited_by_count":0,"area":null},{"id":"2110.01266","title":"Behaviour-conditioned policies for cooperative reinforcement learning tasks","created":"2021-10-04","cited_by_count":0,"area":null},{"id":"2207.00288","title":"Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems","created":"2022-07-01","cited_by_count":0,"area":null},{"id":"2212.13448","title":"Strangeness-driven Exploration in Multi-Agent Reinforcement Learning","created":"2022-12-27","cited_by_count":0,"area":null},{"id":"2307.09051","title":"QMNet: Importance-Aware Message Exchange for Decentralized Multi-Agent Reinforcement Learning","created":"2023-07-18","cited_by_count":0,"area":null},{"id":"2403.18057","title":"Prioritized League Reinforcement Learning for Large-Scale Heterogeneous Multiagent Systems","created":"2024-03-26","cited_by_count":0,"area":null},{"id":"2407.20739","title":"Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization","created":"2024-07-30","cited_by_count":0,"area":null},{"id":"2411.11099","title":"Mitigating Relative Over-Generalization in Multi-Agent Reinforcement Learning","created":"2024-11-17","cited_by_count":0,"area":null},{"id":"2503.07397","title":"Q-MARL: A quantum-inspired algorithm using neural message passing for large-scale multi-agent reinforcement learning","created":"2025-03-10","cited_by_count":0,"area":null},{"id":"2510.03823","title":"Distributed Area Coverage with High Altitude Balloons Using Multi-Agent Reinforcement Learning","created":"2025-10-04","cited_by_count":0,"area":null},{"id":"2511.23315","title":"Emergent Coordination and Phase Structure in Independent Multi-Agent Reinforcement Learning","created":"2025-11-28","cited_by_count":0,"area":null},{"id":"2512.21024","title":"Policy-Conditioned Policies for Multi-Agent Task Solving","created":"2025-12-24","cited_by_count":0,"area":"agents"},{"id":"2601.17454","title":"Embodiment-Induced Coordination Regimes in Tabular Multi-Agent Q-Learning","created":"2026-01-24","cited_by_count":0,"area":null},{"id":"2601.21523","title":"Explicit Credit Assignment through Local Rewards and Dependence Graphs in Multi-Agent Reinforcement Learning","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2602.02970","title":"Co2PO: Coordinated Constrained Policy Optimization for Multi-Agent RL","created":"2026-02-03","cited_by_count":0,"area":null},{"id":"2603.20333","title":"Bounded Coupled AI Learning Dynamics in Tri-Hierarchical Drone Swarms","created":"2026-03-20","cited_by_count":0,"area":null},{"id":"2604.06598","title":"Train-Small Deploy-Large: Leveraging Diffusion-Based Multi-Robot Planning","created":"2026-04-08","cited_by_count":0,"area":"diffusion"},{"id":"2604.08944","title":"Multi-Agent Decision-Focused Learning via Value-Aware Sequential Communication","created":"2026-04-10","cited_by_count":0,"area":null},{"id":"2604.20586","title":"A Hierarchical MARL-Based Approach for Coordinated Retail P2P Trading and Wholesale Market Participation of DERs","created":"2026-04-22","cited_by_count":0,"area":null},{"id":"2605.04939","title":"Modular Reinforcement Learning For Cooperative Swarms","created":"2026-05-06","cited_by_count":0,"area":"deeprl"},{"id":"2605.23930","title":"Quantum Frog: Emergent Cooperation and Difficulty Scaling in a Quantized-Time Cooperative Game","created":"2026-04-22","cited_by_count":0,"area":"deeprl"},{"id":"2605.26286","title":"Decoupled Delay Compensation: Enhancing Pre-trained MARL Policies via Learned Dynamics Filtering","created":"2026-05-25","cited_by_count":0,"area":null},{"id":"2606.25526","title":"Low Variance Trust Region Optimization with Independent Actors and Sequential Updates in Cooperative Multi-agent Reinforcement Learning","created":"2026-06-24","cited_by_count":0,"area":null},{"id":"2607.04470","title":"Regime-Conditional Stabilisation of LLM-Augmented Cooperative Multi-Agent Reinforcement Learning","created":"2026-07-05","cited_by_count":0,"area":"agents"},{"id":"2610.17409","title":"Position: Beyond Training Time, Test-Time Coordination is Essential for Cooperative MARL","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}