Cooperative MARL

MARL: Multi-Agent Reinforcement Learning

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22 papers in the last four weeks, up 450% on the four weeks before. 0.2% of all new papers.

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Fog of Love: Engineering Virtuous Agent Behavior with Affinity-based Reinforcement Learning in a Game Environment
Jun 3, 2026Ajay Vishwanath, Christian OmlinReinforcement Learning Cooperative MARL
IKT, University of Agder, Jon Lilletuns vei, Grimstad, 4879, Agder, Norway.
Episodic Memory Temporal Consistency for Cooperative Multi-Agent Reinforcement Learning
Jun 3, 2026Zicheng Zhao, Yu Lan, Chengzhengxu Li +2Reinforcement Learning Game-Playing Agents
Xi’an Jiaotong University · Queen Mary University of London
Coordination Graphs for Constrained Multi-Agent Reinforcement Learning
Jun 1, 2026Santiago Amaya-Corredor, Miguel Calvo-Fullana, Anders JonssonMulti-Objective Reinforcement Learning Multi-Agent System Optimization
Department of Engineering, Universitat Pompeu Fabra, Barcelona, Spain
Dreaming Of Others: Latent Teammate Modeling In World Models For Multi-Agent Reinforcement Learning
May 29, 2026Tomas Leroy-StoneMulti-Agent Coordination Theory of Mind
Privacy-Aware Agent Collaboration for Dynamic VR Slice Management in 6G SD-RAN
May 28, 2026Khaled M. Naguib, Soumaya Cherkaoui, Mahmoud M. Elmesalawy +26G Networks Wireless Communications
Department of Computer and Software Engineering, Polytechnique Montr´eal, Montr´eal, Canada · Electronics and Communications, Helwan Univ. Cairo, Egypt
LLM-ALSO: LLM-Driven Adaptive Learning-Signal Optimization for Multi-Agent Reinforcement Learning
May 28, 2026Xiaoguang Wu, Zhi Zheng, Hui XiongReward Shaping LLM-Guided RL
University of Science and Technology of China · Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China · 2Thrust of Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou)
TRACER: Turn-level Regret Matching with Inner Reinforcement Credit for Cooperative Multi-LLM Reasoning
May 27, 2026Chusen Li, Zhou Liu, Shuigeng Zhou +1Regret Minimization Multi-Agent Reasoning
1Fudan University · 2Zhongguancun Academy · 3Academy for Advanced Interdisciplinary Studies, Peking University
Evolutionary Enhanced Multi-Agent Reinforcement Learning for Cooperative Air Combat
May 24, 2026Chengwei Li, Junlin Liu, Yang GaoMulti-Agent Coordination Reinforcement Learning
Institute of Automation, Chinese Academy of Sciences · School of Artificial Intelligence, University of Chinese Academy of Sciences
Scaling up Energy-Aware Multi-Agent Reinforcement Learning for Mission-Oriented Drone Networks with Individual Reward
May 24, 2026Changling Li, Ying LiReinforcement Learning Credit Assignment in RL
Department of Computer Science, ETH Zurich, 8092, Zurich, Switzerland · Department of Computer Science, Colby College, 04901, Waterville, ME, USA
Adaptive Human-AI Coordination via Hierarchical Action Disentanglement
May 23, 2026Adnan Ahmad, Bahareh Nakisa, Mohammad Naim RastgooDisentangled Representation Learning Hierarchical RL
School of Information Technology Deakin University, Waurn Ponds, 3216, VIC, Australia · Faculty of Information Technology, Monash University, 3800, VIC, Australia
PIMbot: A Self-Adaptive Attack Framework for Adversarial Manipulation of Multi-Robot Reinforcement Learning
May 21, 2026Zexin Li, Ziliang Zhang, Hyoseung Kim +1Adversarial Attacks Cooperative MARL
University of California, Riverside
FedCritic: Serverless Federated Critic Learning-based Resource Allocation for Multi-Cell OFDMA in 6G
May 20, 2026Amin Farajzadeh, Melike Erol-KantarciFederated RL 6G Networks
School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada
COAgents: Multi-Agent Framework to Learn and Navigate Routing Problems Search Space
May 20, 2026Oleksandr Yakovenko, Mahdi Mostajabdaveh, Cheikh Ahmed +4Multi-Agent System Optimization Vehicle Routing
Huawei Technologies Canada, 4321 Still Creek Dr, Burnaby, BC, Canada V5C 6S7 · Huawei Technologies, China
LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
May 18, 2026Sangjun Bae, Yisak Park, Sanghyeon Lee +1LLM-Guided RL Multi-Agent Systems
Graduate School of Artificial Intelligence, UNIST, Ulsan, South Korea.
Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning
May 18, 2026Sunwoo Lee, Mingu Kang, Yonghyeon Jo +1Adversarial Training Multi-Agent Coordination
Graduate School of Artificial Intelligence, UNIST, Ulsan, South Korea
Shared Backbone PPO for Multi-UAV Communication Coverage with Connection Preservation
May 18, 2026Z. JiangMulti-Robot Systems Proximal Policy Optimization
Zhejiang University
Heterogeneous Information-Bottleneck Coordination Graphs for Multi-Agent Reinforcement Learning
May 17, 2026Wei Duan, Junyu Xuan, En Yu +2Graph Structure Learning Information Bottleneck
Australian Artificial Intelligence Institute (AAII), University of Technology Sydney
Beyond Partner Diversity: An Influence-Based Team Steering Framework for Zero-Shot Human-Machine Teaming
May 14, 2026Wei Sheng, Rohan PalejaMulti-Agent Coordination Cooperative MARL
Department of Computer Science Purdue University
ERPPO: Entropy Regularization-based Proximal Policy Optimization
May 13, 2026Changha Lee, Gyusang ChoMulti-Agent Systems Proximal Policy Optimization
Korea Advanced Institute of Science and Technology, Daejeon, South Korea
Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning
May 12, 2026Wo Wei Lin, Ethan Rathbun, Enrico Marchesini +1Reinforcement Learning Robust RL
Department of Computer Sciences Northeastern University United States · Department of Computer Sciences Massachusetts Institute of Technology United States
Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning
May 12, 2026Hannes Büchi, Manon Flageat, Eduardo Sebastián +1Cooperative MARL Multi-Agent Reinforcement Learning
Department of Computer Science and Technology, University of Cambridge, UK
Adaptive TD-Lambda for Cooperative Multi-agent Reinforcement Learning
May 12, 2026Yue Deng, Zirui Wang, Yin ZhangTemporal-Difference Learning Density Ratio Estimation
1Zhongguancun Academy, Beijing, China · College of Computer Science and Technology, Zhejiang University
Shaping Zero-Shot Coordination via State Blocking
May 12, 2026Mingu Kang, Sunwoo Lee, Yonghyeon Jo +1Multi-Agent Coordination Cooperative MARL
Graduate School of Artificial Intelligence UNIST Ulsan, South Korea 44919
PC3D: Zero-Shot Cooperation Across Variable Rosters via Personalized Context Distillation
May 11, 2026Ahmet Onur Akman, Rafał KucharskiZero-Shot Learning Decentralized MARL
Doctoral School of Exact and Natural Sciences, Jagiellonian University, Kraków, Poland · Faculty of Mathematics and Computer Science, Jagiellonian University, Kraków, Poland
A Cross-Layered Multi-Drone Coordination for Medical Supply Delivery during Disaster Response Management
May 10, 2026Aneesh Calyam, Subrahmanya Chandra Bhamidipati, Zack Murry +1Aerial Robotics UAV Navigation
University of Missouri–Columbia, Columbia, MO 65211, USA
Rethinking Ratio-Based Trust Regions for Policy Optimization in Multi-Agent Reinforcement Learning
May 9, 2026Chulabhaya Wijesundara, Andrea Baisero, Zhongheng Li +3Multi-Agent System Optimization Policy Optimization
Northeastern University · STR · University of California, Irvine
SACHI: Structured Agent Coordination via Holistic Information Integration in Multi-Agent Reinforcement Learning
May 8, 2026Nikunj Gupta, James Zachary Hare, Jesse Milzman +2Multi-Agent Coordination Partially Observable RL
University of Southern California, Los Angeles, CA, USA · DEVCOM Army Research Laboratory, Adelphi, MD, USA · DEVCOM Army Research Office, Research Triangle Park, North Carolina, USA
The Reciprocity Gradient
May 8, 2026Yue Lin, Pascal Poupart, Shuhui Zhu +5Credit Assignment in RL Policy Gradient Methods
The Chinese University of Hong Kong, Shenzhen · LIGHTSPEED · University of Waterloo +2
Decentralized Diffusion Policy Learning for Enhanced Exploration in Cooperative Multi-agent Reinforcement Learning
May 8, 2026Yuyang Zhang, Haldun Balim, Na LiDiffusion Policy Decentralized MARL
SEAS, Harvard University
Randomness is sometimes necessary for coordination
May 7, 2026Rohan Patil, Jai Malegaonkar, Henrik I. ChristensenMulti-Agent Coordination Multi-Agent Systems

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Fog of Love: Engineering Virtuous Agent Behavior with Affinity-based Reinforcement Learning in a Game Environment

Ajay Vishwanath, Christian Omlin

IKT, University of Agder, Jon Lilletuns vei, Grimstad, 4879, Agder, Norway.

Reinforcement Learning Cooperative MARL Value Alignment

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Instilling virtuous behavior in artificial intelligence has seen increasing interest. One of the techniques proposed is known as affinity-based reinforcement learning, which uses policy regularization on the objective function to incentivize virtuous actions without being fully dependent on the reward function design. Thus far, this technique has been demonstrated to be effective in grid worlds and toy-problem environments with minimal state and action spaces. To expand this research to more sophisticated environments, we introduce a two-player multi-agent environment based on the role-playing board game known as Fog of Love. In this environment, two agents compete to fulfill their individual virtues, while also cooperating to satisfy their relationship. Given the multi-agent nature, this is a complex problem where multi-agent deep deterministic policy gradient agents neither compete nor cooperate successfully. We present evidence that localized affinities enhance agent performance in achieving both competitive and cooperative objectives, resulting from superior overall scores in both domains. This not only results in virtuous choices but also clarifies an agent's teleology and makes its behavior human-level interpretable.

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Latest papers 146