Saved in:
| Main Authors: | Siyadatzadeh, Roozbeh, Ansari, Mohsen, Shafique, Muhammad, Ejlali, Alireza |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.12677 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
by: Younesi, Abolfazl, et al.
Published: (2024)
by: Younesi, Abolfazl, et al.
Published: (2024)
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
by: Zolman, Nicholas, et al.
Published: (2024)
by: Zolman, Nicholas, et al.
Published: (2024)
Unifying Goal-Conditioned RL and Unsupervised Skill Learning via Control-Maximization
by: Modirshanechi, Alireza, et al.
Published: (2026)
by: Modirshanechi, Alireza, et al.
Published: (2026)
Embedding Safety into RL: A New Take on Trust Region Methods
by: Milosevic, Nikola, et al.
Published: (2024)
by: Milosevic, Nikola, et al.
Published: (2024)
RL-ADN: A High-Performance Deep Reinforcement Learning Environment for Optimal Energy Storage Systems Dispatch in Active Distribution Networks
by: Hou, Shengren, et al.
Published: (2024)
by: Hou, Shengren, et al.
Published: (2024)
Towards Fast Rates for Federated and Multi-Task Reinforcement Learning
by: Zhu, Feng, et al.
Published: (2024)
by: Zhu, Feng, et al.
Published: (2024)
P2W: From Power Traces to Weights Matrix -- An Unconventional Transfer Learning Approach
by: Siyadatzadeh, Roozbeh, et al.
Published: (2025)
by: Siyadatzadeh, Roozbeh, et al.
Published: (2025)
Transfer Learning for Control Systems via Neural Simulation Relations
by: Nadali, Alireza, et al.
Published: (2024)
by: Nadali, Alireza, et al.
Published: (2024)
Enhanced-FQL($λ$), an Efficient and Interpretable RL with novel Fuzzy Eligibility Traces and Segmented Experience Replay
by: Jalaeian-Farimani, Mohsen, et al.
Published: (2026)
by: Jalaeian-Farimani, Mohsen, et al.
Published: (2026)
Training Task Reasoning LLM Agents for Multi-turn Task Planning via Single-turn Reinforcement Learning
by: Hu, Hanjiang, et al.
Published: (2025)
by: Hu, Hanjiang, et al.
Published: (2025)
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
by: Xu, Jianye, et al.
Published: (2024)
by: Xu, Jianye, et al.
Published: (2024)
Hereditary Geometric Meta-RL: Nonlocal Generalization via Task Symmetries
by: Nitschke, Paul, et al.
Published: (2026)
by: Nitschke, Paul, et al.
Published: (2026)
Control-based Graph Embeddings with Data Augmentation for Contrastive Learning
by: Ahmad, Obaid Ullah, et al.
Published: (2024)
by: Ahmad, Obaid Ullah, et al.
Published: (2024)
Fair Reinforcement Learning Algorithm for PV Active Control in LV Distribution Networks
by: Vassallo, Maurizio, et al.
Published: (2024)
by: Vassallo, Maurizio, et al.
Published: (2024)
Explainable Reinforcement Learning-based Home Energy Management Systems using Differentiable Decision Trees
by: Gokhale, Gargya, et al.
Published: (2024)
by: Gokhale, Gargya, et al.
Published: (2024)
Integrating Lagrangian Neural Networks into the Dyna Framework for Reinforcement Learning
by: Das, Shreya, et al.
Published: (2026)
by: Das, Shreya, et al.
Published: (2026)
CBF-RL: Safety Filtering Reinforcement Learning in Training with Control Barrier Functions
by: Yang, Lizhi, et al.
Published: (2025)
by: Yang, Lizhi, et al.
Published: (2025)
Improving Mixed-Criticality Scheduling with Reinforcement Learning
by: El-Mahdy, Muhammad, et al.
Published: (2025)
by: El-Mahdy, Muhammad, et al.
Published: (2025)
RL-based Control of UAS Subject to Significant Disturbance
by: Chakraborty, Kousheek, et al.
Published: (2025)
by: Chakraborty, Kousheek, et al.
Published: (2025)
Leveraging Multi-Task Learning for Multi-Label Power System Security Assessment
by: Za'ter, Muhy Eddin, et al.
Published: (2025)
by: Za'ter, Muhy Eddin, et al.
Published: (2025)
Integrating DeepRL with Robust Low-Level Control in Robotic Manipulators for Non-Repetitive Reaching Tasks
by: Shahna, Mehdi Heydari, et al.
Published: (2024)
by: Shahna, Mehdi Heydari, et al.
Published: (2024)
Entropy-Aware Task Offloading in Mobile Edge Computing
by: Ardakani, Mohsen Sahraei, et al.
Published: (2026)
by: Ardakani, Mohsen Sahraei, et al.
Published: (2026)
Active Alignments of Lens Systems with Reinforcement Learning
by: Burkhardt, Matthias, et al.
Published: (2025)
by: Burkhardt, Matthias, et al.
Published: (2025)
Stochastic Reinforcement Learning with Stability Guarantees for Control of Unknown Nonlinear Systems
by: Quartz, Thanin, et al.
Published: (2024)
by: Quartz, Thanin, et al.
Published: (2024)
Reinforcement Learning of Structured Control for Linear Systems with Unknown State Matrix
by: Mukherjee, Sayak, et al.
Published: (2020)
by: Mukherjee, Sayak, et al.
Published: (2020)
Nonuniqueness and Convergence to Equivalent Solutions in Observer-based Inverse Reinforcement Learning
by: Town, Jared, et al.
Published: (2022)
by: Town, Jared, et al.
Published: (2022)
Controller Design for Structured State-space Models via Contraction Theory
by: Zakwan, Muhammad, et al.
Published: (2026)
by: Zakwan, Muhammad, et al.
Published: (2026)
Learning and Online Replication of Grasp Forces from Electromyography Signals for Prosthetic Finger Control
by: Arbaud, Robin, et al.
Published: (2025)
by: Arbaud, Robin, et al.
Published: (2025)
Reinforcement Learning-based Control via Y-wise Affine Neural Networks (YANNs)
by: Braniff, Austin, et al.
Published: (2025)
by: Braniff, Austin, et al.
Published: (2025)
Semi-Supervised Multi-Task Learning Based Framework for Power System Security Assessment
by: Za'ter, Muhy Eddin, et al.
Published: (2024)
by: Za'ter, Muhy Eddin, et al.
Published: (2024)
AoI-Aware Task Offloading and Transmission Optimization for Industrial IoT Networks: A Branching Deep Reinforcement Learning Approach
by: Chen, Yuang, et al.
Published: (2025)
by: Chen, Yuang, et al.
Published: (2025)
Risk-Aware Safe Reinforcement Learning for Control of Stochastic Linear Systems
by: Esmaeili, Babak, et al.
Published: (2025)
by: Esmaeili, Babak, et al.
Published: (2025)
Resilient Constrained Reinforcement Learning
by: Ding, Dongsheng, et al.
Published: (2023)
by: Ding, Dongsheng, et al.
Published: (2023)
Control in Stochastic Environment with Delays: A Model-based Reinforcement Learning Approach
by: Yao, Zhiyuan, et al.
Published: (2024)
by: Yao, Zhiyuan, et al.
Published: (2024)
Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning
by: Lin, Runze, et al.
Published: (2025)
by: Lin, Runze, et al.
Published: (2025)
Representation Learning Enhanced Deep Reinforcement Learning for Optimal Operation of Hydrogen-based Multi-Energy Systems
by: Pu, Zhenyu, et al.
Published: (2026)
by: Pu, Zhenyu, et al.
Published: (2026)
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
by: Hoppe, Heiko, et al.
Published: (2023)
by: Hoppe, Heiko, et al.
Published: (2023)
A Robust Task-Level Control Architecture for Learned Dynamical Systems
by: Pathak, Eshika, et al.
Published: (2025)
by: Pathak, Eshika, et al.
Published: (2025)
Attentive Convolutional Deep Reinforcement Learning for Optimizing Solar-Storage Systems in Real-Time Electricity Markets
by: Li, Jinhao, et al.
Published: (2024)
by: Li, Jinhao, et al.
Published: (2024)
Application of Deep Reinforcement Learning to Event-Triggered Control for Networked Artificial Pancreas Systems
by: Ikemoto, Junya, et al.
Published: (2026)
by: Ikemoto, Junya, et al.
Published: (2026)
Similar Items
-
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
by: Younesi, Abolfazl, et al.
Published: (2024) -
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
by: Zolman, Nicholas, et al.
Published: (2024) -
Unifying Goal-Conditioned RL and Unsupervised Skill Learning via Control-Maximization
by: Modirshanechi, Alireza, et al.
Published: (2026) -
Embedding Safety into RL: A New Take on Trust Region Methods
by: Milosevic, Nikola, et al.
Published: (2024) -
RL-ADN: A High-Performance Deep Reinforcement Learning Environment for Optimal Energy Storage Systems Dispatch in Active Distribution Networks
by: Hou, Shengren, et al.
Published: (2024)