Cover Image

Learning Strategy Representation for Imitation Learning in Multi-Agent Games

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lei, Shiqi, Lee, Kanghoon, Li, Linjing, Park, Jinkyoo
Format:	Preprint
Published:	2024
Subjects:	Multiagent Systems Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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)

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

MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale
by: Andreychuk, Anton, et al.
Published: (2024)

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

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

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

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

Deploying Ten Thousand Robots: Scalable Imitation Learning for Lifelong Multi-Agent Path Finding
by: Jiang, He, et al.
Published: (2024)

Role Play: Learning Adaptive Role-Specific Strategies in Multi-Agent Interactions
by: Long, Weifan, et al.
Published: (2024)

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

MisoDICE: Multi-Agent Imitation from Unlabeled Mixed-Quality Demonstrations
by: Bui, The Viet, et al.
Published: (2025)

Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
by: Xu, Zelai, et al.
Published: (2023)

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

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

TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning
by: Lee, Hayeong, et al.
Published: (2026)

Learning Multi-Agent Loco-Manipulation for Long-Horizon Quadrupedal Pushing
by: Feng, Yuming, et al.
Published: (2024)

The Composite Task Challenge for Cooperative Multi-Agent Reinforcement Learning
by: Li, Yurui, et al.
Published: (2025)

Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations
by: Seo, Sangwon, et al.
Published: (2025)

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

Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning
by: Xu, Linjie, et al.
Published: (2024)

QSIM: Mitigating Overestimation in Multi-Agent Reinforcement Learning via Action Similarity Weighted Q-Learning
by: Li, Yuanjun, et al.
Published: (2026)

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

PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning
by: Hu, Kun, et al.
Published: (2025)

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

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

Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
by: Li, Simin, et al.
Published: (2025)

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

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

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

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

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

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

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)

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

RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization
by: Shen, Siqi, et al.
Published: (2023)

Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2024)

Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy
by: Gao, Riqiang, et al.
Published: (2024)