Cover Image

SIA: Symbolic Interpretability for Anticipatory Deep Reinforcement Learning in Network Control

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jabbari, MohammadErfan, Duttagupta, Abhishek, Fiandrino, Claudio, Bonati, Leonardo, D'Oro, Salvatore, Polese, Michele, Fiore, Marco, Melodia, Tommaso
Format:	Preprint
Published:	2026
Subjects:	Networking and Internet Architecture Artificial Intelligence I.2.6; I.2.4; C.2.1
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SymbXRL: Symbolic Explainable Deep Reinforcement Learning for Mobile Networks
by: Duttagupta, Abhishek, et al.
Published: (2026)

SIA: Self Improving AI with Harness & Weight Updates
by: Hebbar, Prannay, et al.
Published: (2026)

Gyan: An Explainable Neuro-Symbolic Language Model
by: Srinivasan, Venkat, et al.
Published: (2026)

On AI Verification in Open RAN
by: Soundrarajan, Rahul, et al.
Published: (2025)

Social Interpretable Reinforcement Learning
by: Custode, Leonardo Lucio, et al.
Published: (2024)

Automated Circuit Interpretation via Probe Prompting
by: Birardi, Giuseppe
Published: (2025)

Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning
by: Jiang, Zeyu, et al.
Published: (2025)

Enhancing Large Language Models through Neuro-Symbolic Integration and Ontological Reasoning
by: Vsevolodovna, Ruslan Idelfonso Magana, et al.
Published: (2025)

Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memory
by: Jiang, Rongjie, et al.
Published: (2026)

A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making
by: Núñez-Molina, Carlos, et al.
Published: (2023)

Autonomous Control of a Novel Closed Chain Five Bar Active Suspension via Deep Reinforcement Learning
by: Singh, Nishesh, et al.
Published: (2024)

elsciRL: Integrating Language Solutions into Reinforcement Learning Problem Settings
by: Osborne, Philip, et al.
Published: (2025)

PRISMA: Preference-Reinforced Self-Training Approach for Interpretable Emotionally Intelligent Negotiation Dialogues
by: Kajare, Prajwal Vijay, et al.
Published: (2026)

Selective Progress-Aware Querying for Human-in-the-Loop Reinforcement Learning
by: Muraleedharan, Anujith, et al.
Published: (2025)

Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance
by: Kashyap, Pankhi, et al.
Published: (2024)

Deep Generative Symbolic Regression
by: Holt, Samuel, et al.
Published: (2023)

SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks
by: Vincze, Mátyás, et al.
Published: (2024)

EmbodiedLGR: Integrating Lightweight Graph Representation and Retrieval for Semantic-Spatial Memory in Robotic Agents
by: Riva, Paolo, et al.
Published: (2026)

Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight
by: Romero, Angel, et al.
Published: (2025)

FlowRL: Flow-Augmented Few-Shot Reinforcement Learning for Semi-Structured Sensor Data
by: Pivezhandi, Mohammad, et al.
Published: (2024)

Fuzzy, Symbolic, and Contextual: Enhancing LLM Instruction via Cognitive Scaffolding
by: Figueiredo, Vanessa
Published: (2025)

Ultra-Reduced-Impact-Encased-Logging (URIEL): propose a new method for selective sustainable logging and post-harvest silvicultural treatment in tropical forest using airborne robotics systems
by: Albiero, Daniel, et al.
Published: (2026)

Exploring the Technology Landscape through Topic Modeling, Expert Involvement, and Reinforcement Learning
by: Nazari, Ali, et al.
Published: (2025)

Learning Natural Language Constraints for Safe Reinforcement Learning of Language Agents
by: Chua, Jaymari, et al.
Published: (2025)

Procedural Game Level Design with Deep Reinforcement Learning
by: Özkan, Miraç Buğra
Published: (2025)

CoMoCAVs: Cohesive Decision-Guided Motion Planning for Connected and Autonomous Vehicles with Multi-Policy Reinforcement Learning
by: Hu, Pan
Published: (2025)

eStonefish-Scenes: A Sim-to-Real Validated and Robot-Centric Event-based Optical Flow Dataset for Underwater Vehicles
by: Mansour, Jad, et al.
Published: (2025)

Adversarially Probing Cross-Family Sound Symbolism in 27 Languages
by: Sharma, Anika, et al.
Published: (2025)

Factored Diffusion Policies:Compositionally Generalized Robot Control with a Single Score Network
by: Mitra, Sayan, et al.
Published: (2026)

When Gradients Collide: Failure Modes of Multi-Objective Prompt Optimization for LLM Judges
by: Darshan, Parth, et al.
Published: (2026)

LLM-Guided Task- and Affordance-Level Exploration in Reinforcement Learning
by: Luijkx, Jelle, et al.
Published: (2025)

Sim-to-reality adaptation for Deep Reinforcement Learning applied to an underwater docking application
by: Chaarani, Alaaeddine, et al.
Published: (2026)

NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems
by: Núñez-Molina, Carlos, et al.
Published: (2023)

An Explainable Collaborative Dialogue System using a Theory of Mind
by: Cohen, Philip R., et al.
Published: (2023)

Intersymbolic AI: Interlinking Symbolic AI and Subsymbolic AI
by: Platzer, André
Published: (2024)

Interpreting Structured Perturbations in Image Protection Methods for Diffusion Models
by: Martin, Michael R., et al.
Published: (2025)

Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control
by: de Mol, Barbera, et al.
Published: (2025)

Twinning Commercial Network Traces on Experimental Open RAN Platforms
by: Bonati, Leonardo, et al.
Published: (2024)

AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024)

From Basic Affordances to Symbolic Thought: A Computational Phylogenesis of Biological Intelligence
by: Hummel, John E., et al.
Published: (2025)