Copertina

Sorrel: A simple and flexible framework for multi-agent reinforcement learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gelpí, Rebekah A., Ju, Yibing, Jackson, Ethan C., Tang, Yikai, Verch, Shon, Voelcker, Claas, Cunningham, William A.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Multiagent Systems Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Social coordination perpetuates stereotypic expectations and behaviors across generations in deep multi-agent reinforcement learning
di: Gelpí, Rebekah A., et al.
Pubblicazione: (2024)

Distributed scalable coupled policy algorithm for networked multi-agent reinforcement learning
di: Dai, Pengcheng, et al.
Pubblicazione: (2025)

The price of decentralization in managing engineering systems through multi-agent reinforcement learning
di: Bhustali, Prateek, et al.
Pubblicazione: (2026)

The challenge of hidden gifts in multi-agent reinforcement learning
di: Malenfant, Dane, et al.
Pubblicazione: (2025)

Distributed primal-dual algorithm for constrained multi-agent reinforcement learning under coupled policies
di: Dai, Pengcheng, et al.
Pubblicazione: (2025)

Autonomous vehicles need social awareness to find optima in multi-agent reinforcement learning routing games
di: Psarou, Anastasia, et al.
Pubblicazione: (2025)

Emergence of agriculture in an artificial society of reinforcement learning agents
di: Hamon, Gautier, et al.
Pubblicazione: (2026)

The impact of behavioral diversity in multi-agent reinforcement learning
di: Bettini, Matteo, et al.
Pubblicazione: (2024)

RouteRL: Multi-agent reinforcement learning framework for urban route choice with autonomous vehicles
di: Akman, Ahmet Onur, et al.
Pubblicazione: (2025)

A novel multi-agent dynamic portfolio optimization learning system based on hierarchical deep reinforcement learning
di: Sun, Ruoyu, et al.
Pubblicazione: (2025)

Scalable spectral representations for multi-agent reinforcement learning in network MDPs
di: Ren, Zhaolin, et al.
Pubblicazione: (2024)

Contrastive learning-based agent modeling for deep reinforcement learning
di: Ma, Wenhao, et al.
Pubblicazione: (2023)

Improving monotonic optimization in heterogeneous multi-agent reinforcement learning with optimal marginal deterministic policy gradient
di: Yu, Xiaoyang, et al.
Pubblicazione: (2025)

Replicating the behaviour of electric vehicle drivers using an agent-based reinforcement learning model
di: Feng, Zixin, et al.
Pubblicazione: (2025)

Temporal-Difference Learning Using Distributed Error Signals
di: Guan, Jonas, et al.
Pubblicazione: (2024)

AOAD-MAT: Transformer-based multi-agent deep reinforcement learning model considering agents' order of action decisions
di: Takayama, Shota, et al.
Pubblicazione: (2025)

Modelling crypto markets by multi-agent reinforcement learning
di: Lussange, Johann, et al.
Pubblicazione: (2024)

FoX: Formation-aware exploration in multi-agent reinforcement learning
di: Jo, Yonghyeon, et al.
Pubblicazione: (2023)

Kernel-based learning with guarantees for multi-agent applications
di: Kowalczyk, Krzysztof, et al.
Pubblicazione: (2024)

Decentralized multi-agent reinforcement learning algorithm using a cluster-synchronized laser network
di: Kotoku, Shun, et al.
Pubblicazione: (2024)

Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management
di: Saifullah, M., et al.
Pubblicazione: (2024)

TrajOnco: a multi-agent framework for temporal reasoning over longitudinal EHR for multi-cancer early detection
di: Zeng, Sihang, et al.
Pubblicazione: (2026)

A review on reinforcement learning methods for mobility on demand systems
di: Chouaki, Tarek, et al.
Pubblicazione: (2025)

A multi-agent model of hierarchical decision dynamics
di: Kinsler, Paul
Pubblicazione: (2024)

Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR
di: Syed, Shahbaz P Qadri, et al.
Pubblicazione: (2025)

Sharing is caring: data sharing in multi-agent supply chains
di: Wang, Wan, et al.
Pubblicazione: (2026)

A systematic review of norm emergence in multi-agent systems
di: Cordova, Carmengelys, et al.
Pubblicazione: (2024)

ReclAIm: A multi-agent framework for degradation-aware performance tuning of medical imaging AI
di: Tzanis, Eleftherios, et al.
Pubblicazione: (2025)

Satellites swarm cooperation for pursuit-attachment tasks with transformer-based reinforcement learning
di: Li, yonghao
Pubblicazione: (2024)

An agentic system with reinforcement-learned subsystem improvements for parsing form-like documents
di: Amjad, Ayesha, et al.
Pubblicazione: (2025)

Decentralised multi-agent coordination for real-time railway traffic management
di: D'Amato, Leo, et al.
Pubblicazione: (2025)

An algorithm with improved complexity for pebble motion/multi-agent path finding on trees
di: Ardizzoni, Stefano, et al.
Pubblicazione: (2023)

Controlling identical linear multi-agent systems over directed graphs
di: Zaupa, Nicola, et al.
Pubblicazione: (2023)

MatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula
di: Sun, Lijun, et al.
Pubblicazione: (2023)

Middleware-based multi-agent development environment for building and testing distributed intelligent systems
di: Aguayo-Canela, Francisco José, et al.
Pubblicazione: (2024)

CORRECT: COndensed eRror RECognition via knowledge Transfer in multi-agent systems
di: Yu, Yifan, et al.
Pubblicazione: (2025)

Multi-agent assignment via state augmented reinforcement learning
di: Agorio, Leopoldo, et al.
Pubblicazione: (2024)

Towards Intelligent Geospatial Data Discovery: a knowledge graph-driven multi-agent framework powered by large language models
di: Liu, Ruixiang, et al.
Pubblicazione: (2026)

Generalizing Liquid Democracy to multi-agent delegation: A Voting Weight Measure and Equilibrium Analysis
di: Bersetche, Francisco M.
Pubblicazione: (2022)

Enriched multi-agent middleware for building rule-based distributed security solutions for IoT environments
di: Aguayo-Canela, Francisco José, et al.
Pubblicazione: (2024)