Cover Image

Robust Remote Reinforcement Learning over Unreliable Communication Channels using Homomorphic State Encoding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Talli, Pietro, Mason, Federico, Chiariotti, Federico, Zanella, Andrea
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Information Theory Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Eavesdropping on Goal-Oriented Communication: Timing Attacks and Countermeasures
by: Mason, Federico, et al.
Published: (2024)

Push- and Pull-based Effective Communication in Cyber-Physical Systems
by: Talli, Pietro, et al.
Published: (2024)

Effective Communication with Dynamic Feature Compression
by: Talli, Pietro, et al.
Published: (2024)

Pragmatic Communication for Remote Control of Finite-State Markov Processes
by: Talli, Pietro, et al.
Published: (2024)

GO-GenZip: Goal-Oriented Generative Sampling and Hybrid Compression
by: Talli, Pietro, et al.
Published: (2026)

Secure Goal-Oriented Communication: Defending against Eavesdropping Timing Attacks
by: Mason, Federico, et al.
Published: (2025)

Learning what to say and how precisely: Efficient Communication via Differentiable Discrete Communication Learning
by: Kapoor, Aditya, et al.
Published: (2025)

Using Distributed Reinforcement Learning for Resource Orchestration in a Network Slicing Scenario
by: Mason, Federico, et al.
Published: (2021)

Provably Efficient Information-Directed Sampling Algorithms for Multi-Agent Reinforcement Learning
by: Zhang, Qiaosheng, et al.
Published: (2024)

Soft Partitioning of Latent Space for Semantic Channel Equalization
by: Hüttebräucker, Tomás, et al.
Published: (2024)

To Train or Not to Train: Balancing Efficiency and Training Cost in Deep Reinforcement Learning for Mobile Edge Computing
by: Boscaro, Maddalena, et al.
Published: (2024)

Task-Oriented Wireless Communications for Collaborative Perception in Intelligent Unmanned Systems
by: Zhou, Sheng, et al.
Published: (2024)

JCAS-MARL: Joint Communication and Sensing UAV Networks via Resource-Constrained Multi-Agent Reinforcement Learning
by: Guven, Islam, et al.
Published: (2026)

Harnessing the Power of Federated Learning in Federated Contextual Bandits
by: Shi, Chengshuai, et al.
Published: (2023)

Distributed Adaptive Learning Under Communication Constraints
by: Carpentiero, Marco, et al.
Published: (2021)

Understanding Action Effects through Instrumental Empowerment in Multi-Agent Reinforcement Learning
by: Selmonaj, Ardian, et al.
Published: (2025)

GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network
by: Pan, Yuhao, et al.
Published: (2024)

Graph Attention-based Reinforcement Learning for Trajectory Design and Resource Assignment in Multi-UAV Assisted Communication
by: Feng, Zikai, et al.
Published: (2024)

Scale-Robust Timely Asynchronous Decentralized Learning
by: Mitra, Purbesh, et al.
Published: (2024)

Bandwidth-constrained Variational Message Encoding for Cooperative Multi-agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2025)

Heterogeneous RBCs via Deep Multi-Agent Reinforcement Learning
by: Gabriele, Federico, et al.
Published: (2025)

Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning
by: Shi, Laixi, et al.
Published: (2024)

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

InfoChess: A Game of Adversarial Inference and a Laboratory for Quantifiable Information Control
by: Murphy, Kieran A.
Published: (2026)

Strategically Robust Multi-Agent Reinforcement Learning with Linear Function Approximation
by: Gonzales, Jake, et al.
Published: (2026)

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

Context-aware Communication for Multi-agent Reinforcement Learning
by: Li, Xinran, et al.
Published: (2023)

Fully Independent Communication in Multi-Agent Reinforcement Learning
by: Pina, Rafael, et al.
Published: (2024)

G-UBS: Towards Robust Understanding of Implicit Feedback via Group-Aware User Behavior Simulation
by: Chen, Boyu, et al.
Published: (2025)

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

Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models
by: Shi, Chengshuai, et al.
Published: (2024)

Learning to Communicate Through Implicit Communication Channels
by: Wang, Han, et al.
Published: (2024)

Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty
by: Shi, Laixi, et al.
Published: (2024)

Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy
by: Wang, Feng, et al.
Published: (2024)

Multi-Agent Model-Based Reinforcement Learning with Joint State-Action Learned Embeddings
by: Wang, Zhizun, et al.
Published: (2026)

Reasoning-Native Agentic Communication for 6G
by: Seo, Hyowoon, et al.
Published: (2026)

Communications-Incentivized Collaborative Reasoning in NetGPT through Agentic Reinforcement Learning
by: Yu, Xiaoxue, et al.
Published: (2026)

Predictive Maps of Multi-Agent Reasoning: A Successor-Representation Spectrum for LLM Communication Topologies
by: Parks, Ethan, et al.
Published: (2026)

Sample-Efficient Distributionally Robust Multi-Agent Reinforcement Learning via Online Interaction
by: Farhat, Zain Ulabedeen, et al.
Published: (2025)

USPR: Learning a Unified Solver for Profiled Routing
by: Hua, Chuanbo, et al.
Published: (2025)