Cover Image

A non-smooth regularization framework for learning over multitask graphs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zgheib, Yara, Calatroni, Luca, Antonini, Marc, Nassif, Roula
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Differential error feedback for communication-efficient decentralized learning
by: Nassif, Roula, et al.
Published: (2024)

Sorrel: A simple and flexible framework for multi-agent reinforcement learning
by: Gelpí, Rebekah A., et al.
Published: (2025)

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

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

Bayesian Ego-graph Inference for Networked Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2025)

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

Adversarial Bandit over Bandits: Hierarchical Bandits for Online Configuration Management
by: Avin, Chen, et al.
Published: (2025)

Human-compatible driving partners through data-regularized self-play reinforcement learning
by: Cornelisse, Daphne, et al.
Published: (2024)

Learning safe, constrained policies via imitation learning: Connection to Probabilistic Inference and a Naive Algorithm
by: Papadopoulos, George, et al.
Published: (2025)

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs
by: Zheng, Xue Xian, et al.
Published: (2025)

Soft Condorcet Optimization for Ranking of General Agents
by: Lanctot, Marc, et al.
Published: (2024)

Wake Up to the Past: Using Memory to Model Fluid Wake Effects on Robots
by: Vendruscolo, Luca, et al.
Published: (2026)

Generative adversarial imitation learning for robot swarms: Learning from human demonstrations and trained policies
by: Kraus, Mattes, et al.
Published: (2026)

A finite time analysis of distributed Q-learning
by: Lim, Han-Dong, et al.
Published: (2024)

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

Heterogeneous graph attention network improves cancer multiomics integration
by: Tabakhi, Sina, et al.
Published: (2024)

Continuous-time q-learning for mean-field control with common noise, part-II: q-learning algorithms
by: Ren, Zhenjie, et al.
Published: (2026)

LERO: LLM-driven Evolutionary framework with Hybrid Rewards and Enhanced Observation for Multi-Agent Reinforcement Learning
by: Wei, Yuan, et al.
Published: (2025)

Lipschitz Dueling Bandits over Continuous Action Spaces
by: Sharma, Mudit, et al.
Published: (2026)

Robust Online Learning over Networks
by: Bastianello, Nicola, et al.
Published: (2023)

A Large Language Model for Feasible and Diverse Population Synthesis
by: Lim, Sung Yoo, et al.
Published: (2025)

MobiAgent: A Systematic Framework for Customizable Mobile Agents
by: Zhang, Cheng, et al.
Published: (2025)

A Tensor Network Implementation of Multi Agent Reinforcement Learning
by: Howard, Sunny
Published: (2024)

A Survey of Multi-Agent Deep Reinforcement Learning with Communication
by: Zhu, Changxi, et al.
Published: (2022)

Beyond Predictions: A Participatory Framework for Multi-Stakeholder Decision-Making
by: Vineis, Vittoria, et al.
Published: (2025)

Adaptive Urban Planning: A Hybrid Framework for Balanced City Development
by: Singla, Pratham, et al.
Published: (2024)

Mini Honor of Kings: A Lightweight Environment for Multi-Agent Reinforcement Learning
by: Liu, Lin, et al.
Published: (2024)

Integrated Noise and Safety Management in UAM via A Unified Reinforcement Learning Framework
by: Murthy, Surya, et al.
Published: (2025)

A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control
by: Satheesh, Anirudh, et al.
Published: (2025)

A Nested Graph Reinforcement Learning-based Decision-making Strategy for Eco-platooning
by: Gao, Xin, et al.
Published: (2024)

A Dual Curriculum Learning Framework for Multi-UAV Pursuit-Evasion in Diverse Environments
by: Chen, Jiayu, et al.
Published: (2023)

A differentiable model of supply-chain shocks
by: Hamid, Saad, et al.
Published: (2025)

Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCM
by: Lassen, Oskar Bohn, et al.
Published: (2025)

Strategic Coordination for Evolving Multi-agent Systems: A Hierarchical Reinforcement and Collective Learning Approach
by: Qin, Chuhao, et al.
Published: (2025)

Federated Learning for Data-Driven Feedforward Control: A Case Study on Vehicle Lateral Dynamics
by: Weber, Jakob, et al.
Published: (2025)

MARS: A Meta-Adaptive Reinforcement Learning Framework for Risk-Aware Multi-Agent Portfolio Management
by: Chen, Jiayi, et al.
Published: (2025)

MAPFAST: A Deep Algorithm Selector for Multi Agent Path Finding using Shortest Path Embeddings
by: Ren, Jingyao, et al.
Published: (2021)

A Cross-Layered Multi-Drone Coordination for Medical Supply Delivery during Disaster Response Management
by: Calyam, Aneesh, et al.
Published: (2026)

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

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