To Learn or Not to Learn: A Litmus Test for Using Reinforcement Learning in Control
Fuente:
arXiv
Saved in:
| Main Authors: | Schulte, Victor, Eichelbeck, Michael, Althoff, Matthias |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving Stochastic Action-Constrained Reinforcement Learning via Truncated Distributions
by: Stolz, Roland, et al.
Published: (2025)
by: Stolz, Roland, et al.
Published: (2025)
CommonPower: A Framework for Safe Data-Driven Smart Grid Control
by: Eichelbeck, Michael, et al.
Published: (2024)
by: Eichelbeck, Michael, et al.
Published: (2024)
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking
by: Stolz, Roland, et al.
Published: (2024)
by: Stolz, Roland, et al.
Published: (2024)
Contingency-constrained economic dispatch with safe reinforcement learning
by: Eichelbeck, Michael, et al.
Published: (2022)
by: Eichelbeck, Michael, et al.
Published: (2022)
Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks
by: Lützow, Laura, et al.
Published: (2025)
by: Lützow, Laura, et al.
Published: (2025)
Provable Traffic Rule Compliance in Safe Reinforcement Learning on the Open Sea
by: Krasowski, Hanna, et al.
Published: (2024)
by: Krasowski, Hanna, et al.
Published: (2024)
Training Verifiably Robust Agents Using Set-Based Reinforcement Learning
by: Wendl, Manuel, et al.
Published: (2024)
by: Wendl, Manuel, et al.
Published: (2024)
A Comparison of Set-Based Observers for Nonlinear Systems
by: Holzinger, Nico, et al.
Published: (2026)
by: Holzinger, Nico, et al.
Published: (2026)
Backward Reachability Analysis of Perturbed Continuous-Time Linear Systems Using Set Propagation
by: Wetzlinger, Mark, et al.
Published: (2023)
by: Wetzlinger, Mark, et al.
Published: (2023)
Sparse Polynomial Zonotopes: A Novel Set Representation for Reachability Analysis
by: Kochdumper, Niklas, et al.
Published: (2019)
by: Kochdumper, Niklas, et al.
Published: (2019)
Divide and Discard: Fast Tightening of Guaranteed State Bounds for Nonlinear Systems
by: Holzinger, Nico, et al.
Published: (2026)
by: Holzinger, Nico, et al.
Published: (2026)
Provably-Correct Safety Protocol for Cooperative Platooning
by: Mair, Sebastian, et al.
Published: (2023)
by: Mair, Sebastian, et al.
Published: (2023)
Efficiently Obtaining Reachset Conformance for the Formal Analysis of Robotic Contact Tasks
by: Tang, Chencheng, et al.
Published: (2024)
by: Tang, Chencheng, et al.
Published: (2024)
Reachset-Conformant System Identification
by: Lützow, Laura, et al.
Published: (2024)
by: Lützow, Laura, et al.
Published: (2024)
Actively Learning Reinforcement Learning: A Stochastic Optimal Control Approach
by: Ramadan, Mohammad S., et al.
Published: (2023)
by: Ramadan, Mohammad S., et al.
Published: (2023)
Reinforcement Learning for Motor Control: A Comprehensive Review
by: Kazemikia, Danial
Published: (2024)
by: Kazemikia, Danial
Published: (2024)
Control Synthesis with Reinforcement Learning: A Modeling Perspective
by: Xu, Nikki, et al.
Published: (2025)
by: Xu, Nikki, et al.
Published: (2025)
Control-Informed Reinforcement Learning for Chemical Processes
by: Bloor, Maximilian, et al.
Published: (2024)
by: Bloor, Maximilian, et al.
Published: (2024)
Reinforcement Learning Controllers for Soft Robots using Learned Environments
by: Berdica, Uljad, et al.
Published: (2024)
by: Berdica, Uljad, et al.
Published: (2024)
Safe Reinforcement Learning Using Robust MPC
by: Zanon, Mario, et al.
Published: (2019)
by: Zanon, Mario, et al.
Published: (2019)
Safe Reinforcement Learning for Power System Control: A Review
by: Yu, Peipei, et al.
Published: (2024)
by: Yu, Peipei, et al.
Published: (2024)
Iterative Learning Control-Informed Reinforcement Learning for Batch Process Control
by: Lin, Runze, et al.
Published: (2026)
by: Lin, Runze, et al.
Published: (2026)
Local-Global Learning of Interpretable Control Policies: The Interface between MPC and Reinforcement Learning
by: Banker, Thomas, et al.
Published: (2025)
by: Banker, Thomas, et al.
Published: (2025)
Deep Reinforcement Learning for Voltage Control and Renewable Accommodation Using Spatial-Temporal Graph Information
by: Li, Jinhao, et al.
Published: (2024)
by: Li, Jinhao, et al.
Published: (2024)
Safe Reinforcement Learning-based Automatic Generation Control
by: Mohamed, Amr S., et al.
Published: (2025)
by: Mohamed, Amr S., et al.
Published: (2025)
Scalable Reinforcement Learning for Linear-Quadratic Control of Networks
by: Olsson, Johan, et al.
Published: (2024)
by: Olsson, Johan, et al.
Published: (2024)
A Hierarchical Signal Coordination and Control System Using a Hybrid Model-based and Reinforcement Learning Approach
by: Peng, Xianyue, et al.
Published: (2025)
by: Peng, Xianyue, et al.
Published: (2025)
Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Control
by: Mallick, Samuel, et al.
Published: (2024)
by: Mallick, Samuel, et al.
Published: (2024)
Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Overview and Perspectives
by: Lin, Runze, et al.
Published: (2024)
by: Lin, Runze, et al.
Published: (2024)
Reinforcement Learning for Gliding Projectile Guidance and Control
by: Cahn, Joel, et al.
Published: (2025)
by: Cahn, Joel, et al.
Published: (2025)
Reinforcement Learning for Distributed Transient Frequency Control with Stability and Safety Guarantees
by: Yuan, Zhenyi, et al.
Published: (2022)
by: Yuan, Zhenyi, et al.
Published: (2022)
Active Alignments of Lens Systems with Reinforcement Learning
by: Burkhardt, Matthias, et al.
Published: (2025)
by: Burkhardt, Matthias, et al.
Published: (2025)
On the Use of Reinforcement Learning for Attacking and Defending Load Frequency Control
by: Mohamed, Amr S., et al.
Published: (2023)
by: Mohamed, Amr S., et al.
Published: (2023)
Deep Reinforcement Learning in Applied Control: Challenges, Analysis, and Insights
by: Agyei, Klinsmann, et al.
Published: (2025)
by: Agyei, Klinsmann, et al.
Published: (2025)
Phase Re-service in Reinforcement Learning Traffic Signal Control
by: Zhang, Zhiyao, et al.
Published: (2024)
by: Zhang, Zhiyao, et al.
Published: (2024)
Feedforward-Feedback Integration in Flight Control: Reinforcement Learning with Sliding Mode Control
by: Sayyed, Imran, et al.
Published: (2026)
by: Sayyed, Imran, et al.
Published: (2026)
A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning
by: Kaypak, Ali Umut, et al.
Published: (2026)
by: Kaypak, Ali Umut, et al.
Published: (2026)
Robust Mean Field Social Control: A Unified Reinforcement Learning Framework
by: Xu, Zhenhui, et al.
Published: (2025)
by: Xu, Zhenhui, et al.
Published: (2025)
A Control-Barrier-Function-Based Algorithm for Policy Adaptation in Reinforcement Learning
by: Hao, Wenjian, et al.
Published: (2025)
by: Hao, Wenjian, et al.
Published: (2025)
Model-Based Reinforcement Learning Control of Reaction-Diffusion Problems
by: Schenk, Christina, et al.
Published: (2024)
by: Schenk, Christina, et al.
Published: (2024)
Similar Items
-
Improving Stochastic Action-Constrained Reinforcement Learning via Truncated Distributions
by: Stolz, Roland, et al.
Published: (2025) -
CommonPower: A Framework for Safe Data-Driven Smart Grid Control
by: Eichelbeck, Michael, et al.
Published: (2024) -
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking
by: Stolz, Roland, et al.
Published: (2024) -
Contingency-constrained economic dispatch with safe reinforcement learning
by: Eichelbeck, Michael, et al.
Published: (2022) -
Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks
by: Lützow, Laura, et al.
Published: (2025)