:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lotfi, Fatemeh, Rajoli, Hossein, Afghah, Fatemeh
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2511.15002
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing
by: Lotfi, Fatemeh, et al.
Published: (2025)

Prompt-Tuned LLM-Augmented DRL for Dynamic O-RAN Network Slicing
by: Lotfi, Fatemeh, et al.
Published: (2025)

Meta Hierarchical Reinforcement Learning for Scalable Resource Management in O-RAN
by: Lotfi, Fatemeh, et al.
Published: (2025)

Meta Reinforcement Learning Approach for Adaptive Resource Optimization in O-RAN
by: Lotfi, Fatemeh, et al.
Published: (2024)

Open RAN LSTM Traffic Prediction and Slice Management using Deep Reinforcement Learning
by: Lotfi, Fatemeh, et al.
Published: (2024)

Thermal Image Calibration and Correction using Unpaired Cycle-Consistent Adversarial Networks
by: Rajoli, Hossein, et al.
Published: (2024)

A Reinforcement Learning-Based Task Mapping Method to Improve the Reliability of Clustered Manycores
by: Hossein-Khani, Fatemeh, et al.
Published: (2024)

Intelligent Task Offloading: Advanced MEC Task Offloading and Resource Management in 5G Networks
by: Ebrahimi, Alireza, et al.
Published: (2025)

Modality-Aware SAM: Sharpness-Aware-Minimization Driven Gradient Modulation for Harmonized Multimodal Learning
by: Nowdeh, Hossein R., et al.
Published: (2025)

Adapt under Attack and Domain Shift: Unified Adversarial Meta-Learning and Domain Adaptation for Robust Automatic Modulation Classification
by: Owfi, Ali, et al.
Published: (2025)

Boosting Hierarchical Reinforcement Learning with Meta-Learning for Complex Task Adaptation
by: Khajooeinejad, Arash, et al.
Published: (2024)

FlameFinder: Illuminating Obscured Fire through Smoke with Attentive Deep Metric Learning
by: Rajoli, Hossein, et al.
Published: (2024)

OptiGradTrust: Byzantine-Robust Federated Learning with Multi-Feature Gradient Analysis and Reinforcement Learning-Based Trust Weighting
by: Karami, Mohammad, et al.
Published: (2025)

Deciphering Heartbeat Signatures: A Vision Transformer Approach to Explainable Atrial Fibrillation Detection from ECG Signals
by: Mohan, Aruna, et al.
Published: (2024)

Projected Task-Specific Layers for Multi-Task Reinforcement Learning
by: Roberts, Josselin Somerville, et al.
Published: (2023)

Ontology-Enhanced Decision-Making for Autonomous Agents in Dynamic and Partially Observable Environments
by: Ghanadbashi, Saeedeh, et al.
Published: (2024)

ZO-SAM: Zero-Order Sharpness-Aware Minimization for Efficient Sparse Training
by: Ji, Jie, et al.
Published: (2026)

Oranits: Mission Assignment and Task Offloading in Open RAN-based ITS using Metaheuristic and Deep Reinforcement Learning
by: Nguyen, Ngoc Hung, et al.
Published: (2025)

Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents
by: Shukla, Yash, et al.
Published: (2024)

Efficient Multi-Task Reinforcement Learning via Task-Specific Action Correction
by: Feng, Jinyuan, et al.
Published: (2024)

A Geometric-Aware Perspective and Beyond: Hybrid Quantum-Classical Machine Learning Methods
by: Alavia, Azadeh, et al.
Published: (2025)

Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning
by: Fan, Ziqing, et al.
Published: (2024)

QoS-Aware Dynamic CU Selection in O-RAN with Graph-Based Reinforcement Learning
by: Racedo, Sebastian, et al.
Published: (2025)

History-Augmented Vision-Language Models for Frontier-Based Zero-Shot Object Navigation
by: Habibpour, Mobin, et al.
Published: (2025)

Think, Remember, Navigate: Zero-Shot Object-Goal Navigation with VLM-Powered Reasoning
by: Habibpour, Mobin, et al.
Published: (2025)

Securing Swarms: Cross-Domain Adaptation for ROS2-based CPS Anomaly Detection
by: Boone, Julia, et al.
Published: (2025)

Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design
by: Li, Gen, et al.
Published: (2024)

Content Augmented Graph Neural Networks
by: Nasrabadi, Fatemeh Gholamzadeh, et al.
Published: (2023)

Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning
by: Ma, Haozhe, et al.
Published: (2024)

Improving generalization of robot locomotion policies via Sharpness-Aware Reinforcement Learning
by: Bochem, Severin, et al.
Published: (2024)

Task Scheduling & Forgetting in Multi-Task Reinforcement Learning
by: Speckmann, Marc, et al.
Published: (2025)

The Composite Task Challenge for Cooperative Multi-Agent Reinforcement Learning
by: Li, Yurui, et al.
Published: (2025)

Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization
by: Xu, Le, et al.
Published: (2025)

A Comprehensive Study of Supervised Machine Learning Models for Zero-Day Attack Detection: Analyzing Performance on Imbalanced Data
by: Lotfi, Zahra, et al.
Published: (2025)

Goldilocks RL: Tuning Task Difficulty to Escape Sparse Rewards for Reasoning
by: Mahrooghi, Ilia, et al.
Published: (2026)

Fair Resource Allocation in Virtualized O-RAN Platforms
by: Aslan, Fatih, et al.
Published: (2024)

Tractable Sharpness-Aware Learning of Probabilistic Circuits
by: Suresh, Hrithik, et al.
Published: (2025)

Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2024)

Seeing Heat with Color -- RGB-Only Wildfire Temperature Inference from SAM-Guided Multimodal Distillation using Radiometric Ground Truth
by: Marinaccio, Michael, et al.
Published: (2025)

Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey
by: Hady, Mohamad A., et al.
Published: (2025)