Cover Image

PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Berto, Federico, Hua, Chuanbo, Luttmann, Laurin, Son, Jiwoo, Park, Junyoung, Ahn, Kyuree, Kwon, Changhyun, Xie, Lin, Park, Jinkyoo
Format:	Preprint
Published:	2024
Subjects:	Multiagent Systems Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

USPR: Learning a Unified Solver for Profiled Routing
by: Hua, Chuanbo, et al.
Published: (2025)

CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems
by: Hua, Chuanbo, et al.
Published: (2025)

HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding
by: Tang, Huijie, et al.
Published: (2024)

RRNCO: Towards Real-World Routing with Neural Combinatorial Optimization
by: Son, Jiwoo, et al.
Published: (2025)

Learning to Solve the Min-Max Mixed-Shelves Picker-Routing Problem via Hierarchical and Parallel Decoding
by: Luttmann, Laurin, et al.
Published: (2025)

Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
by: Tang, Huijie, et al.
Published: (2024)

Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation
by: Li, Jiachen, et al.
Published: (2024)

Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing Problems
by: Sobhanan, Abhay, et al.
Published: (2023)

Multi-Action Self-Improvement for Neural Combinatorial Optimization
by: Luttmann, Laurin, et al.
Published: (2025)

JudgeFlow: Agentic Workflow Optimization via Block Judge
by: Ma, Zihan, et al.
Published: (2026)

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

Neural Genetic Search in Discrete Spaces
by: Kim, Hyeonah, et al.
Published: (2025)

Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm
by: Kim, Hyeonjun, et al.
Published: (2025)

Priority-Aware Multi-Robot Coverage Path Planning
by: Lee, Kanghoon, et al.
Published: (2026)

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
by: Berto, Federico, et al.
Published: (2023)

Distributed Online Planning for Min-Max Problems in Networked Markov Games
by: Tzikas, Alexandros E., et al.
Published: (2024)

Self-Refining Topology Optimization via an LLM-Based Multi-Agent Framework
by: Park, Hyunjee, et al.
Published: (2026)

ARMATA: Auto-Regressive Multi-Agent Task Assignment
by: Youssef, Yazan, et al.
Published: (2026)

Generalized Per-Agent Advantage Estimation for Multi-Agent Policy Optimization
by: Kim, Seongmin, et al.
Published: (2026)

AutoMedic: An Automated Evaluation Framework for Clinical Conversational Agents with Medical Dataset Grounding
by: Oh, Gyutaek, et al.
Published: (2025)

Ant Colony Sampling with GFlowNets for Combinatorial Optimization
by: Kim, Minsu, et al.
Published: (2024)

Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
by: Kim, Minsu, et al.
Published: (2023)

RouteFinder: Towards Foundation Models for Vehicle Routing Problems
by: Berto, Federico, et al.
Published: (2024)

Optimizing Sequential Multi-Step Tasks with Parallel LLM Agents
by: Zhang, Enhao, et al.
Published: (2025)

AutoGenesisAgent: Self-Generating Multi-Agent Systems for Complex Tasks
by: Harper, Jeremy
Published: (2024)

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning
by: Lee, Kanghoon, et al.
Published: (2026)

ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games
by: Lei, Shiqi, et al.
Published: (2024)

PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints
by: Park, Minjun, et al.
Published: (2026)

Modeling and Optimizing the Provisioning of Exhaustible Capabilities for Simultaneous Task Allocation and Scheduling
by: Park, Jinwoo, et al.
Published: (2026)

Progressive Multi-Agent Reasoning for Biological Perturbation Prediction
by: Kim, Hyomin, et al.
Published: (2026)

Focusing Influence Mechanism for Multi-Agent Reinforcement Learning
by: Park, Yisak, et al.
Published: (2025)

Algorithmic Contract Design with Reinforcement Learning Agents
by: Concha, David Molina, et al.
Published: (2024)

Robust Multi-Agent Decision-Making in Finite-Population Games
by: Park, Shinkyu, et al.
Published: (2025)

Multi-Agent Guided Policy Optimization
by: Li, Yueheng, et al.
Published: (2025)

TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution
by: Zhao, Zhikai, et al.
Published: (2025)

EvoNav: Evolutionary Reward Function Design for Robot Navigation with Large Language Models
by: Zhao, Zhikai, et al.
Published: (2026)

TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution
by: Zhao, Zhikai, et al.
Published: (2025)

Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search
by: Chan, Shao-Hung, et al.
Published: (2024)

AgentRec: Agent Recommendation Using Sentence Embeddings Aligned to Human Feedback
by: Park, Joshua, et al.
Published: (2025)

Learning Equilibrium with Estimated Payoffs in Population Games
by: Park, Shinkyu
Published: (2024)