Awesome Multiagent Systems

Coercion and Deception in AI-to-AI Management: An Agentic Benchmark of Unprompted Escalation (2026)

Jasmine Brazilek et al.

5.87

Control Laguerre Tessellation: Semi-discrete Optimal Transport Over Control Systems (2026)

Ripon C. Sarker et al.

5.49

GLIB: Efficient Exploration For Relational Model-based Reinforcement Learning Via Goal-literal Babbling (2020)

Rohan Chitnis, Tom Silver, Joshua Tenenbaum, et al.

5.24

DevicesWorld: Benchmarking Cross-Device Agents in Heterogeneous Environments (2026)

Huatao Li et al.

4.39

A Deployed Hybrid Vehicle-in-the-Loop Platform for Validating Cooperative Perception (2026)

Anastasia Bolovinou et al.

4.39

Strategy-Following Multi-Agent Deep Reinforcement Learning Considering Control Strategies Provided to Other Agents (2026)

Yamato Takahagi et al.

4.39

Dreamer-CPC: Message Learning with World Models for Decentralized Multi-agent Reinforcement Learning (2026)

Taisuke Takayama et al.

4.39

Harnessing Disagreement: Detecting Correlated Agreement Blindness in Multi-Agent Triage (2026)

Shay Seiya McDonnell et al.

4.39

SolarChain-Eval: A Physics-Constrained Benchmark for Trustworthy Economic Agents in Decentralized Energy Markets (2026)

Shilin Ou et al.

3.51

Quantifying Diversity of Thought: A Predictive Law of Weighted LLM Ensemble Lift (2026)

Junade Ali

2.00

Hierarchical Preemptive Holistic Collaborative Systems For Embodied Multi-agent Systems: Framework, Hybrid Stability, And Scalability Analysis (2026)

Ting Peng

1.94

MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving (2026)

Rajeev Yasarla et al.

1.89

Exploring Robust Multi-Agent Workflows for Environmental Data Management (2026)

Boyuan Guan et al.

1.83

ADAPT: Benchmarking Commonsense Planning Under Unspecified Affordance Constraints (2026)

Pei-An Chen, Yong-Ching Liang, Jia-Fong Yeh, et al.

1.83

The Coordination Gap: Multi-Agent Alternation Metrics for Temporal Fairness in Repeated Games (2026)

Nikolaos Al. Papadopoulos et al.

1.78

Decentralized Multi-Agent Swarms for Autonomous Grid Security in Industrial IoT: A Consensus-based Approach (2026)

Samaresh Kumar Singh et al.

1.67

Embodiment-Induced Coordination Regimes in Tabular Multi-Agent Q-Learning (2026)

Muhammad Ahmed Atif et al.

1.67

DR. WELL: Dynamic Reasoning And Learning With Symbolic World Model For Embodied Llm-based Multi-agent Collaboration (2025)

Narjes Nourzad, Hanqing Yang, Shiyu Chen, et al.

1.56

Generative World Models Of Tasks: Llm-driven Hierarchical Scaffolding For Embodied Agents (2025)

Brennen Hill

1.44

Policy Compatible Skill Incremental Learning Via Lazy Learning Interface (2025)

Daehee Lee, Dongsu Lee, Taeyoon Kwack, et al.

1.44

Capo: Cooperative Plan Optimization For Efficient Embodied Multi-agent Cooperation (2024)

Jie Liu, Pan Zhou, Yingjun Du, et al.

1.40

Communicating Plans, Not Percepts: Scalable Multi-agent Coordination With Embodied World Models (2025)

Brennen A. Hill, Mant Koh En Wei, Thangavel Jishnuanandh

1.39

Can LLM-Reasoning Models Replace Classical Planning? A Benchmark Study (2025)

Kai Goebel and Patrik Zips

1.33

Dyna-Think: Synergizing Reasoning, Acting, and World Model Simulation in AI Agents (2025)

Xiao Yu et al.

1.28

Evoagent: Self-evolving Agent With Continual World Model For Long-horizon Tasks (2025)

Tongtong Feng, Xin Wang, Zekai Zhou, et al.

1.28

S$^3$IT: A Benchmark For Spatially Situated Social Intelligence Test (2025)

Zhe Sun, Xueyuan Yang, Yujie Lu, et al.

1.28

A2perf: Real-world Autonomous Agents Benchmark (2025)

Ikechukwu Uchendu, Jason Jabbour, Korneel van Den Berghe, et al.

1.28

Detecting Non-optimal Decisions Of Embodied Agents Via Diversity-guided Metamorphic Testing (2025)

Wenzhao Wu, Yahui Tang, Mingfei Cheng, et al.

1.28

Robo-Troj: Attacking LLM-based Task Planners (2025)

Mohaiminul Al Nahian et al.

1.17

Simplification of Robotic System Model Analysis by Petri Net Meta-Model Property Transfer (2024)

Maksym Figat and Cezary Zieli\'nski

0.72

Human-timescale Adaptation In An Open-ended Task Space (2023)

Adaptive Agent Team, Jakob Bauer, Kate Baumli, et al.

0.00

Intrinsic Motivation For Encouraging Synergistic Behavior (2020)

Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, et al.

0.00

Lipschitz-constrained Unsupervised Skill Discovery (2022)

Seohong Park, Jongwook Choi, Jaekyeom Kim, et al.

0.00

Exploiting Contextual Structure To Generate Useful Auxiliary Tasks (2023)

Benedict Quartey, Ankit Shah, George Konidaris

0.00

Causal Influence Detection For Improving Efficiency In Reinforcement Learning (2021)

Maximilian Seitzer, Bernhard Schölkopf, Georg Martius

0.00

True Knowledge Comes From Practice: Aligning Llms With Embodied Environments Via Reinforcement Learning (2024)

Weihao Tan, Wentao Zhang, Shanqi Liu, et al.

0.00

Exploration By Learning Diverse Skills Through Successor State Measures (2024)

Paul-Antoine Le Tolguenec, Yann Besse, Florent Teichteil-Konigsbuch, et al.

0.00

Moving Forward By Moving Backward: Embedding Action Impact Over Action Semantics (2023)

Kuo-Hao Zeng, Luca Weihs, Roozbeh Mottaghi, et al.

0.00

Towards Cooperative Motion Planning for Automated Vehicles in Mixed Traffic (2017)

Maximilian Naumann and Christoph Stiller

—

Active Inference and Behavior Trees for Reactive Action Planning and Execution in Robotics (2020)

Corrado Pezzato et al.

—

Uniform Scattering of Robots on Alternate Nodes of a Grid (2020)

Moumita Mondal et al.

—

Past, Present, and Future of Swarm Robotics (2021)

Ahmad Reza Cheraghi et al.

—

Centralized Collision-free Polynomial Trajectories and Goal Assignment for Aerial Swarms (2021)

Benjamin Gravell and Tyler Summers

—

An advantage actor-critic algorithm for robotic motion planning in dense and dynamic scenarios (2021)

Chengmin Zhou et al.

—

Large Scale Distributed Collaborative Unlabeled Motion Planning with Graph Policy Gradients (2021)

Arbaaz Khan et al.

—

Multi-Agent Path Planning based on MPC and DDPG (2021)

Junxiao Xue and Xiangyan Kong and Bowei Dong and Mingliang Xu

—

Learning Symbolic Operators for Task and Motion Planning (2021)

Tom Silver et al.

—

Meta-Modeling of Assembly Contingencies and Planning for Repair (2021)

Priyam Parashar et al.

—

Self-Imitation Learning by Planning (2021)

Sha Luo et al.

—

A Task-Motion Planning Framework Using Iteratively Deepened AND/OR Graph Networks (2021)

Hossein Karami and Antony Thomas and Fulvio Mastrogiovanni

—

Dynamic-Aware Autonomous Exploration in Populated Environments (2021)

Valentina Cavinato et al.

—

Flocking-Segregative Swarming Behaviors using Gibbs Random Fields (2021)

Paulo Rezeck et al.

—

A Dynamic Architecture for Task Assignment and Scheduling for Collaborative Robotic Cells (2021)

Andrea Pupa et al.

—

$E^2Coop$: Energy Efficient and Cooperative Obstacle Detection and Avoidance for UAV Swarms (2021)

Shuangyao Huang et al.

—

Adaptive and Risk-Aware Target Tracking with Heterogeneous Robot Teams (2021)

Siddharth Mayya et al.

—

Waiting Tables as a Robot Planning Problem (2021)

Anahita Mohseni-Kabir et al.

—

Optimizing robotic swarm based construction tasks (2021)

Teshan Liyanage et al.

—

An Improved Algorithm of Robot Path Planning in Complex Environment Based on Double DQN (2021)

Fei Zhang et al.

—

Information-Theoretic Based Target Search with Multiple Agents (2021)

Minkyu Kim et al.

—

Auxiliary Heuristics for Frontier Based Planners (2021)

Arsh Tangri et al.

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Awesome Multiagent Systems

Datasets & benchmarks

Key papers

Multiagent Systems

Awesome Multiagent Systems

Datasets & benchmarks

Key papers