Cover Image

RecBayes: Recurrent Bayesian Ad Hoc Teamwork in Large Partially Observable Domains

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ribeiro, João G., Oren, Yaniv, Sardinha, Alberto, Spaan, Matthijs, Melo, Francisco S.
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

Sequence Modeling for N-Agent Ad Hoc Teamwork
by: Wang, Caroline, et al.
Published: (2025)

Open Ad Hoc Teamwork with Cooperative Game Theory
by: Wang, Jianhong, et al.
Published: (2024)

On Mobile Ad Hoc Networks for Coverage of Partially Observable Worlds
by: Meriaux, Edwin, et al.
Published: (2025)

Networked Agents in the Dark: Team Value Learning under Partial Observability
by: Varela, Guilherme S., et al.
Published: (2025)

Multi-party Agent Relation Sampling for Multi-party Ad Hoc Teamwork
by: Zhang, Beiwen, et al.
Published: (2025)

Generic-to-Specific Reasoning and Learning for Scalable Ad Hoc Teamwork
by: Dodampegama, Hasra, et al.
Published: (2025)

Implicit Repair with Reinforcement Learning in Emergent Communication
by: Vital, Fábio, et al.
Published: (2025)

Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork
by: Wang, Jianhong, et al.
Published: (2025)

IFS: Information Flow Structure for Multi-agent Ad Hoc System
by: Fu, Yanqing, et al.
Published: (2025)

ConventionPlay: Capability-Limited Training for Robust Ad-Hoc Collaboration
by: Sriraman, Abhishek, et al.
Published: (2026)

Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems
by: Suau, Miguel, et al.
Published: (2022)

Optimization of Flying Ad Hoc Network Topology and Collaborative Path Planning for Multiple UAVs
by: He, Ming, et al.
Published: (2025)

ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork
by: Wang, Caroline, et al.
Published: (2025)

Policy Optimization in Multi-Agent Settings under Partially Observable Environments
by: Zhaikhan, Ainur, et al.
Published: (2025)

Generating Local Shields for Decentralised Partially Observable Markov Decision Processes
by: Yang, Haoran, et al.
Published: (2026)

Coordinated Autonomous Drones for Human-Centered Fire Evacuation in Partially Observable Urban Environments
by: Mendoza, Maria G., et al.
Published: (2025)

Nash Approximation Gap in Truncated Infinite-horizon Partially Observable Markov Games
by: Sang, Lan, et al.
Published: (2026)

Ad-Hoc Human-AI Coordination Challenge
by: Dizdarević, Tin, et al.
Published: (2025)

Distributed Value Decomposition Networks with Networked Agents
by: Varela, Guilherme S., et al.
Published: (2025)

TeamFusion: Supporting Open-ended Teamwork with Multi-Agent Systems
by: Liu, Jiale, et al.
Published: (2026)

MACRO-LLM: LLM-Empowered Multi-Agent Collaborative Reasoning under Spatiotemporal Partial Observability
by: Chen, Handi, et al.
Published: (2026)

Evader-Agnostic Team-Based Pursuit Strategies in Partially-Observable Environments
by: Kalanther, Addison, et al.
Published: (2025)

Unsupervised Partner Design Enables Robust Ad-hoc Teamwork
by: Ruhdorfer, Constantin, et al.
Published: (2025)

CONCAT: Consensus- and Confidence-Driven Ad Hoc Teaming for Efficient LLM-Based Multi-Agent Systems
by: Ma, Ziyang, et al.
Published: (2026)

Speaking the Language of Teamwork: LLM-Guided Credit Assignment in Multi-Agent Reinforcement Learning
by: Lin, Muhan, et al.
Published: (2025)

Zero-Shot Coordination in Ad Hoc Teams with Generalized Policy Improvement and Difference Rewards
by: Nigam, Rupal, et al.
Published: (2025)

LLaMAR: Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments
by: Nayak, Siddharth, et al.
Published: (2024)

Internal State-Based Policy Gradient Methods for Partially Observable Markov Potential Games
by: Yang, Wonseok, et al.
Published: (2026)

Multi-agent Off-policy Actor-Critic Reinforcement Learning for Partially Observable Environments
by: Zhaikhan, Ainur, et al.
Published: (2024)

LLM-Ehnanced Holonic Architecture for Ad-Hoc Scalable SoS
by: Ashfaq, Muhammad, et al.
Published: (2025)

Learning Ad Hoc Network Dynamics via Graph-Structured World Models
by: Karacelebi, Can, et al.
Published: (2026)

Designing for Accountable Agents: a Viewpoint
by: Cranefield, Stephen, et al.
Published: (2026)

Computing Universal Plans for Partially Observable Multi-Agent Routing Using Answer Set Programming
by: Zhu, Fengming, et al.
Published: (2023)

Transparency as Delayed Observability in Multi-Agent Systems
by: Dwarakanath, Kshama, et al.
Published: (2024)

The Partially Observable Off-Switch Game
by: Garber, Andrew, et al.
Published: (2024)

Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior
by: Cui, Kai, et al.
Published: (2023)

Asynchronous Training of Mixed-Role Human Actors in a Partially-Observable Environment
by: Chang, Kimberlee Chestnut, et al.
Published: (2024)

PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making
by: Light, Jonathan, et al.
Published: (2024)

Partially Observable Multi-Agent Reinforcement Learning with Information Sharing
by: Liu, Xiangyu, et al.
Published: (2023)

Large Language Model-Driven Cross-Domain Orchestration Using Multi-Agent Workflow
by: Xu, Xiaonan, et al.
Published: (2024)