:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lu, Jie, Yan, Peihao, Zeng, Huacheng
Format:	Preprint
Published:	2026
Subjects:	Systems and Control Machine Learning
Online Access:	https://arxiv.org/abs/2602.09206
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Near-Real-Time Resource Slicing for QoS Optimization in 5G O-RAN using Deep Reinforcement Learning
by: Yan, Peihao, et al.
Published: (2025)

TARMM: Scaling Delay-Critical Edge AI Offloading in 5G O-RAN via Temporal Graph Mobility Management
by: Yan, Peihao, et al.
Published: (2026)

Demystifying Deep Reinforcement Learning: A Neuro-Symbolic Framework for Interpretable Open RAN Automation
by: Lu, Jie, et al.
Published: (2026)

Machine Learning-Driven Anomaly Detection for 5G O-RAN Performance Metrics
by: Azkaei, Babak, 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)

Learning Load Balancing with GNN in MPTCP-Enabled Heterogeneous Networks
by: Ji, Han, et al.
Published: (2024)

GNN-Enabled Robust Hybrid Beamforming with Score-Based CSI Generation and Denoising
by: Li, Yuhang, et al.
Published: (2025)

Advanced AI Service Provisioning in O-RAN through LLM Engine Integration
by: Natanzi, Seyed Bagher Hashemi, et al.
Published: (2026)

Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies
by: Yan, Runze, et al.
Published: (2025)

Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management
by: Li, Yuanzheng, et al.
Published: (2022)

Offline Reinforcement Learning via Inverse Optimization
by: Dimanidis, Ioannis, et al.
Published: (2025)

Proximal Reliability Optimization for Reinforcement Learning
by: Patwardhan, Narendra, et al.
Published: (2019)

GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments
by: Orfanoudakis, Stavros, et al.
Published: (2025)

Temporal-Aware Deep Reinforcement Learning for Energy Storage Bidding in Energy and Contingency Reserve Markets
by: Li, Jinhao, et al.
Published: (2024)

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication
by: Wang, Xiucheng, et al.
Published: (2025)

Offline Hierarchical Reinforcement Learning via Inverse Optimization
by: Schmidt, Carolin, et al.
Published: (2024)

Offline Reinforcement-Learning-Based Power Control for Application-Agnostic Energy Efficiency
by: Raj, Akhilesh, et al.
Published: (2026)

Predictive Lagrangian Optimization for Constrained Reinforcement Learning
by: Zhang, Tianqi, et al.
Published: (2025)

Multi-Objective Reinforcement Learning for Energy-Efficient Industrial Control
by: Schäfer, Georg, et al.
Published: (2025)

A Multiobjective Reinforcement Learning Framework for Microgrid Energy Management
by: Liu, M. Vivienne, et al.
Published: (2023)

Structured Reinforcement Learning for Incentivized Stochastic Covert Optimization
by: Jain, Adit, et al.
Published: (2024)

Non-iterative Optimization of Trajectory and Radio Resource for Aerial Network
by: Lyu, Hyeonsu, et al.
Published: (2024)

Deep Reinforcement Learning-Based Optimization of Second-Life Battery Utilization in Electric Vehicles Charging Stations
by: Haghighi, Rouzbeh, et al.
Published: (2025)

Multilayer GNN for Predictive Maintenance and Clustering in Power Grids
by: Kazim, Muhammad, et al.
Published: (2025)

SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
by: Zolman, Nicholas, et al.
Published: (2024)

Peer-to-Peer Energy Trading of Solar and Energy Storage: A Networked Multiagent Reinforcement Learning Approach
by: Feng, Chen, et al.
Published: (2024)

Neural Two-Stage Stochastic Optimization for Solving Unit Commitment Problem
by: Shao, Zhentong, et al.
Published: (2025)

On the Sample Complexity of Discounted Reinforcement Learning with Optimized Certainty Equivalents
by: Mortensen, Oliver, et al.
Published: (2026)

Optimization Solution Functions as Deterministic Policies for Offline Reinforcement Learning
by: Khattar, Vanshaj, et al.
Published: (2024)

Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning
by: Jonnarth, Arvi, et al.
Published: (2023)

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

Python-Based Reinforcement Learning on Simulink Models
by: Schäfer, Georg, et al.
Published: (2024)

Highly Dynamic and Flexible Spatio-Temporal Spectrum Management with AI-Driven O-RAN: A Multi-Granularity Marketplace Framework
by: Rasti, Mehdi, et al.
Published: (2025)

Deep Reinforcement Learning-driven Cross-Community Energy Interaction Optimal Scheduling
by: Li, Yang, et al.
Published: (2023)

xDiff: Online Diffusion Model for Collaborative Inter-Cell Interference Management in 5G O-RAN
by: Yan, Peihao, et al.
Published: (2025)

Cross-fitted Proximal Learning for Model-Based Reinforcement Learning
by: Venkatesh, Nishanth, et al.
Published: (2026)

AoI-Aware Task Offloading and Transmission Optimization for Industrial IoT Networks: A Branching Deep Reinforcement Learning Approach
by: Chen, Yuang, et al.
Published: (2025)

Learning Wireless Interference Patterns: Decoupled GNN for Throughput Prediction in Heterogeneous Multi-Hop p-CSMA Networks
by: Tarzjani, Faezeh Dehghan, et al.
Published: (2025)

Towards Improving Unit Commitment Economics: An Add-On Tailor for Renewable Energy and Reserve Predictions
by: Chen, Xianbang, et al.
Published: (2022)