Cover Image

Learning to Communicate and Collaborate in a Competitive Multi-Agent Setup to Clean the Ocean from Macroplastics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Siedler, Philipp Dominic
Format:	Preprint
Published:	2023
Subjects:	Artificial Intelligence Machine Learning Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HIVEX: A High-Impact Environment Suite for Multi-Agent Research (extended version)
by: Siedler, Philipp Dominic
Published: (2025)

Strategic Persuasion with Trait-Conditioned Multi-Agent Systems for Iterative Legal Argumentation
by: Siedler, Philipp D.
Published: (2026)

FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
by: Li, Wenzhe, et al.
Published: (2024)

Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning
by: Tang, Shuo, et al.
Published: (2024)

Skill-Aligned Fairness in Multi-Agent Learning for Collaboration in Healthcare
by: Ekpo, Promise Osaine, et al.
Published: (2025)

CleanAgent: Automating Data Standardization with LLM-based Agents
by: Qi, Danrui, et al.
Published: (2024)

MAGIC-MASK: Multi-Agent Guided Inter-Agent Collaboration with Mask-Based Explainability for Reinforcement Learning
by: Maliha, Maisha, et al.
Published: (2025)

Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding
by: Vyaltsev, Valeriy, et al.
Published: (2026)

LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
by: Bae, Sangjun, et al.
Published: (2026)

Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems
by: Yang, Huchen, et al.
Published: (2026)

Multi-Agent Path Finding via Offline RL and LLM Collaboration
by: Atasever, Merve, et al.
Published: (2025)

Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review
by: Wu, Di, et al.
Published: (2025)

OMAC: A Holistic Optimization Framework for LLM-Based Multi-Agent Collaboration
by: Li, Shijun, et al.
Published: (2025)

GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent Systems
by: Chen, Hongjiang, et al.
Published: (2026)

A Survey of Multi-Agent Deep Reinforcement Learning with Graph Neural Network-Based Communication
by: Cuzin-Rambaud, Valentin, et al.
Published: (2026)

Thought Communication in Multiagent Collaboration
by: Zheng, Yujia, et al.
Published: (2025)

Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
by: Wang, Zhao, et al.
Published: (2025)

Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration
by: Guo, Xudong, et al.
Published: (2024)

Context Learning for Multi-Agent Discussion
by: Hua, Xingyuan, et al.
Published: (2026)

Goal-Oriented Multi-Agent Reinforcement Learning for Decentralized Agent Teams
by: Du, Hung, et al.
Published: (2025)

Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
by: Liu, Sicong, et al.
Published: (2025)

Multi-Agent Reinforcement Learning with a Hierarchy of Reward Machines
by: Zheng, Xuejing, et al.
Published: (2024)

Learning Progress Driven Multi-Agent Curriculum
by: Zhao, Wenshuai, et al.
Published: (2022)

Learning Strategy Representation for Imitation Learning in Multi-Agent Games
by: Lei, Shiqi, et al.
Published: (2024)

Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning
by: Huh, Dom, et al.
Published: (2024)

Challenges in Credit Assignment for Multi-Agent Reinforcement Learning in Open Agent Systems
by: Abadi, Alireza Saleh, et al.
Published: (2025)

BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
by: Bettini, Matteo, et al.
Published: (2023)

Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
by: Liu, Shunyu, et al.
Published: (2022)

Towards Fault Tolerance in Multi-Agent Reinforcement Learning
by: Shi, Yuchen, et al.
Published: (2024)

When Is Diversity Rewarded in Cooperative Multi-Agent Learning?
by: Amir, Michael, et al.
Published: (2025)

Multi-Agent Car Parking using Reinforcement Learning
by: Tanner, Omar
Published: (2022)

Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning
by: Castagna, Alberto
Published: (2025)

Training Generalizable Collaborative Agents via Strategic Risk Aversion
by: Qu, Chengrui, et al.
Published: (2026)

Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox
by: Yin, Qiyue, et al.
Published: (2022)

Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning
by: Liu, Lunjun, et al.
Published: (2024)

Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning
by: Lee, Sunwoo, et al.
Published: (2026)

Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning
by: Formanek, Claude, et al.
Published: (2023)

Language-Driven Coordination and Learning in Multi-Agent Simulation Environments
by: Li, Zhengyang, et al.
Published: (2025)

Coordination Matters: Evaluation of Cooperative Multi-Agent Reinforcement Learning
by: Cardei, Maria Ana, et al.
Published: (2026)

Reward-Independent Messaging for Decentralized Multi-Agent Reinforcement Learning
by: Yoshida, Naoto, et al.
Published: (2025)