Saved in:
| Main Authors: | Schäfer, Georg, Krau, Tatjana, Rehrl, Jakob, Huber, Stefan, Hirlaender, Simon |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.20442 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Python-Based Reinforcement Learning on Simulink Models
by: Schäfer, Georg, et al.
Published: (2024)
by: Schäfer, Georg, et al.
Published: (2024)
Multi-Objective Reinforcement Learning for Energy-Efficient Industrial Control
by: Schäfer, Georg, et al.
Published: (2025)
by: Schäfer, Georg, et al.
Published: (2025)
Comparison of Model Predictive Control and Proximal Policy Optimization for a 1-DOF Helicopter System
by: Schäfer, Georg, et al.
Published: (2024)
by: Schäfer, Georg, et al.
Published: (2024)
Reinforcement Learning for Optimal Experiment Design in Parameter Identification of Mechatronic Systems
by: Langschwert, Julian, et al.
Published: (2026)
by: Langschwert, Julian, et al.
Published: (2026)
Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-Dimensional Control Tasks
by: Huber, Stefan, et al.
Published: (2026)
by: Huber, Stefan, et al.
Published: (2026)
Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control
by: Müller, Arthur, et al.
Published: (2021)
by: Müller, Arthur, et al.
Published: (2021)
Impact of Markov Decision Process Design on Sim-to-Real Reinforcement Learning
by: Krau, Tatjana, et al.
Published: (2026)
by: Krau, Tatjana, et al.
Published: (2026)
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning
by: Donâncio, Henrique, et al.
Published: (2022)
by: Donâncio, Henrique, et al.
Published: (2022)
Trustworthy and Explainable Deep Reinforcement Learning for Safe and Energy-Efficient Process Control: A Use Case in Industrial Compressed Air Systems
by: Bezold, Vincent, et al.
Published: (2025)
by: Bezold, Vincent, et al.
Published: (2025)
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking
by: Stolz, Roland, et al.
Published: (2024)
by: Stolz, Roland, et al.
Published: (2024)
Reference-Free Formula Drift with Reinforcement Learning: From Driving Data to Tire Energy-Inspired, Real-World Policies
by: Djeumou, Franck, et al.
Published: (2024)
by: Djeumou, Franck, et al.
Published: (2024)
Model-Based Reinforcement Learning Control of Reaction-Diffusion Problems
by: Schenk, Christina, et al.
Published: (2024)
by: Schenk, Christina, et al.
Published: (2024)
A Survey on Physics Informed Reinforcement Learning: Review and Open Problems
by: Banerjee, Chayan, et al.
Published: (2023)
by: Banerjee, Chayan, et al.
Published: (2023)
Robust Bandwidth Estimation for Real-Time Communication with Offline Reinforcement Learning
by: Kai, Jian, et al.
Published: (2025)
by: Kai, Jian, et al.
Published: (2025)
Operator Models for Continuous-Time Offline Reinforcement Learning
by: Hoischen, Nicolas, et al.
Published: (2025)
by: Hoischen, Nicolas, et al.
Published: (2025)
Learning Nonlinear Systems In-Context: From Synthetic Data to Real-World Motor Control
by: Jian, Tong, et al.
Published: (2026)
by: Jian, Tong, et al.
Published: (2026)
Novelty Detection in Reinforcement Learning with World Models
by: Zollicoffer, Geigh, et al.
Published: (2023)
by: Zollicoffer, Geigh, et al.
Published: (2023)
Bounded Exploration with World Model Uncertainty in Soft Actor-Critic Reinforcement Learning Algorithm
by: Qiao, Ting, et al.
Published: (2024)
by: Qiao, Ting, et al.
Published: (2024)
ReACT: Reinforcement Learning for Controller Parametrization using B-Spline Geometries
by: Rudolf, Thomas, et al.
Published: (2024)
by: Rudolf, Thomas, et al.
Published: (2024)
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)
Investigating the Impact of Observation Space Design Choices On Training Reinforcement Learning Solutions for Spacecraft Problems
by: Hamilton, Nathaniel, et al.
Published: (2025)
by: Hamilton, Nathaniel, et al.
Published: (2025)
Real-Time Recurrent Reinforcement Learning
by: Lemmel, Julian, et al.
Published: (2023)
by: Lemmel, Julian, et al.
Published: (2023)
TempoNet: Slack-Quantized Transformer-Guided Reinforcement Scheduler for Adaptive Deadline-Centric Real-Time Dispatchs
by: Fu, Rong, et al.
Published: (2026)
by: Fu, Rong, et al.
Published: (2026)
A Real-World Energy Management Dataset from a Smart Company Building for Optimization and Machine Learning
by: Engel, Jens, et al.
Published: (2025)
by: Engel, Jens, et al.
Published: (2025)
Sublinear Regret for a Class of Continuous-Time Linear-Quadratic Reinforcement Learning Problems
by: Huang, Yilie, et al.
Published: (2024)
by: Huang, Yilie, et al.
Published: (2024)
Sim-to-Real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning
by: Jonnarth, Arvi, et al.
Published: (2024)
by: Jonnarth, Arvi, et al.
Published: (2024)
Resilient Constrained Reinforcement Learning
by: Ding, Dongsheng, et al.
Published: (2023)
by: Ding, Dongsheng, et al.
Published: (2023)
Dynamic Line Rating using Hyper-local Weather Predictions: A Machine Learning Approach
by: Manninen, Henri, et al.
Published: (2024)
by: Manninen, Henri, et al.
Published: (2024)
Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning
by: Theile, Mirco, et al.
Published: (2025)
by: Theile, Mirco, et al.
Published: (2025)
Real-time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning
by: Singhal, Aaryan, et al.
Published: (2023)
by: Singhal, Aaryan, et al.
Published: (2023)
A Graph-Enhanced Deep-Reinforcement Learning Framework for the Aircraft Landing Problem
by: Maru, Vatsal
Published: (2025)
by: Maru, Vatsal
Published: (2025)
On the Foundation of Distributionally Robust Reinforcement Learning
by: Wang, Shengbo, et al.
Published: (2023)
by: Wang, Shengbo, et al.
Published: (2023)
Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems
by: Huang, Yilie, et al.
Published: (2025)
by: Huang, Yilie, et al.
Published: (2025)
Towards Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control
by: Manyari, Yassine El, et al.
Published: (2025)
by: Manyari, Yassine El, et al.
Published: (2025)
Optimistic World Models: Efficient Exploration in Model-Based Deep Reinforcement Learning
by: Mete, Akshay, et al.
Published: (2026)
by: Mete, Akshay, et al.
Published: (2026)
Inverse Delayed Reinforcement Learning
by: Zhan, Simon Sinong, et al.
Published: (2024)
by: Zhan, Simon Sinong, et al.
Published: (2024)
BUILDA: A Thermal Building Data Generation Framework for Transfer Learning
by: Krug, Thomas, et al.
Published: (2025)
by: Krug, Thomas, et al.
Published: (2025)
Towards Autonomous Experimentation: Bayesian Optimization over Problem Formulation Space for Accelerated Alloy Development
by: Khatamsaz, Danial, et al.
Published: (2025)
by: Khatamsaz, Danial, et al.
Published: (2025)
Online Convex Optimization and Integral Quadratic Constraints: An automated approach to regret analysis
by: Jakob, Fabian, et al.
Published: (2025)
by: Jakob, Fabian, et al.
Published: (2025)
Offline Reinforcement Learning via Inverse Optimization
by: Dimanidis, Ioannis, et al.
Published: (2025)
by: Dimanidis, Ioannis, et al.
Published: (2025)
Similar Items
-
Python-Based Reinforcement Learning on Simulink Models
by: Schäfer, Georg, et al.
Published: (2024) -
Multi-Objective Reinforcement Learning for Energy-Efficient Industrial Control
by: Schäfer, Georg, et al.
Published: (2025) -
Comparison of Model Predictive Control and Proximal Policy Optimization for a 1-DOF Helicopter System
by: Schäfer, Georg, et al.
Published: (2024) -
Reinforcement Learning for Optimal Experiment Design in Parameter Identification of Mechatronic Systems
by: Langschwert, Julian, et al.
Published: (2026) -
Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-Dimensional Control Tasks
by: Huber, Stefan, et al.
Published: (2026)