Cover Image

Combining Planning and Reinforcement Learning for Solving Relational Multiagent Domains

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Prabhakar, Nikhilesh, Singh, Ranveer, Kokel, Harsha, Natarajan, Sriraam, Tadepalli, Prasad
Format:	Preprint
Published:	2025
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

Convergence of Multiagent Learning Systems for Traffic control
by: Sen, Sayambhu, et al.
Published: (2025)

Value-Based Rationales Improve Social Experience: A Multiagent Simulation Study
by: Tzeng, Sz-Ting, et al.
Published: (2024)

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

Solving Collaborative Dec-POMDPs with Deep Reinforcement Learning Heuristics
by: Soffair, Nitsan
Published: (2022)

Massively Multiagent Minigames for Training Generalist Agents
by: Choe, Kyoung Whan, et al.
Published: (2024)

Efficient Multi-agent Reinforcement Learning by Planning
by: Liu, Qihan, et al.
Published: (2024)

AKIBoards: A Structure-Following Multiagent System for Predicting Acute Kidney Injury
by: Gordon, David, et al.
Published: (2025)

ToMCAT: Theory-of-Mind for Cooperative Agents in Teams via Multiagent Diffusion Policies
by: Sequeira, Pedro, et al.
Published: (2025)

Game-Theoretic Multiagent Reinforcement Learning
by: Yang, Yaodong, et al.
Published: (2020)

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning
by: Gu, Hankang, et al.
Published: (2025)

Domain-driven Metrics for Reinforcement Learning: A Case Study on Epidemic Control using Agent-based Simulation
by: Gaur, Rishabh, et al.
Published: (2025)

Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategies
by: Chalumeau, Felix, et al.
Published: (2025)

Fluid-Agent Reinforcement Learning
by: Sharma, Shishir, et al.
Published: (2026)

Reinforcement Networks: novel framework for collaborative Multi-Agent Reinforcement Learning tasks
by: Kryzhanovskiy, Maksim, et al.
Published: (2025)

CURO: Curriculum Learning for Relative Overgeneralization
by: Shi, Lin, et al.
Published: (2022)

Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics
by: Magnino, Lorenzo, et al.
Published: (2025)

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

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

Assessing the Impact of Distribution Shift on Reinforcement Learning Performance
by: Fujimoto, Ted, et al.
Published: (2024)

Multi-agent Reinforcement Learning: A Comprehensive Survey
by: Huh, Dom, et al.
Published: (2023)

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

Offline and Distributional Reinforcement Learning for Radio Resource Management
by: Eldeeb, Eslam, et al.
Published: (2024)

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

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

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

Conservative Equilibrium Discovery in Offline Game-Theoretic Multiagent Reinforcement Learning
by: Nguyen, Austin A., et al.
Published: (2026)

GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning
by: Yu, Xiaoyang, et al.
Published: (2023)

Hierarchical Reinforcement Learning for Optimal Agent Grouping in Cooperative Systems
by: Hu, Liyuan
Published: (2025)

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

Decentralizing Multi-Agent Reinforcement Learning with Temporal Causal Information
by: Corazza, Jan, et al.
Published: (2025)

Turn-based Multi-Agent Reinforcement Learning Model Checking
by: Gross, Dennis
Published: (2025)

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

Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning
by: Liao, Wei-Chen, et al.
Published: (2025)

Abstracting Geo-specific Terrains to Scale Up Reinforcement Learning
by: Ustun, Volkan, et al.
Published: (2025)

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

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

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

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