Cover Image

Transfer of Reinforcement Learning-Based Controllers from Model- to Hardware-in-the-Loop

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Picerno, Mario, Koch, Lucas, Badalian, Kevin, Wegener, Marius, Schaub, Joschka, Koch, Charles Robert, Andert, Jakob
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LExCI: A Framework for Reinforcement Learning with Embedded Systems
by: Badalian, Kevin, et al.
Published: (2023)

Safe Reinforcement Learning for Real-World Engine Control
by: Bedei, Julian, et al.
Published: (2025)

Safe Reinforcement Learning for Real-World Engine Control Data and Scripts
by: Bedei, Julian, et al.
Published: (2024)

Production-Ready Automated ECU Calibration using Residual Reinforcement Learning
by: Kampmeier, Andreas, et al.
Published: (2026)

Agentic Agile-V: From Vibe Coding to Verified Engineering in Software and Hardware Development
by: Koch, Christopher
Published: (2026)

Hybrid Reinforcement Learning and Model Predictive Control for Adaptive Control of Hydrogen-Diesel Dual-Fuel Combustion
by: Bedei, Julian, et al.
Published: (2025)

The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning
by: Schneider, Moritz, et al.
Published: (2024)

Constrained Reinforcement Learning for Safe Heat Pump Control
by: Zhang, Baohe, et al.
Published: (2024)

Rotation Invariance in Floor Plan Digitization using Zernike Moments
by: Graumann, Marius, et al.
Published: (2025)

Multi-Agent Scenario Generation in Roundabouts with a Transformer-enhanced Conditional Variational Autoencoder
by: Li, Li, et al.
Published: (2025)

Multi-Agent Architecture in Distributed Environment Control Systems: vision, challenges, and opportunities
by: Astudillo, Natasha, et al.
Published: (2025)

From Governance Norms to Enforceable Controls: A Layered Translation Method for Runtime Guardrails in Agentic AI
by: Koch, Christopher
Published: (2026)

What does a system modify when it modifies itself?
by: Koch, Florentin
Published: (2026)

From indicators to biology: the calibration problem in artificial consciousness
by: Koch, Florentin
Published: (2026)

Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification
by: Reiter, Rudolf, et al.
Published: (2025)

Beyond the Steeper Curve: AI-Mediated Metacognitive Decoupling and the Limits of the Dunning-Kruger Metaphor
by: Koch, Christopher
Published: (2026)

Understanding Unreliability of Steering Vectors in Language Models: Geometric Predictors and the Limits of Linear Approximations
by: Braun, Joschka
Published: (2026)

Revisiting Safe Exploration in Safe Reinforcement learning
by: Eckel, David, et al.
Published: (2024)

asanAI: In-Browser, No-Code, Offline-First Machine Learning Toolkit
by: Koch, Norman, et al.
Published: (2025)

Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning
by: Luo, Jianlan, et al.
Published: (2024)

Agentic AI and the Industrialization of Cyber Offense: Forecast, Consequences, and Defensive Priorities for Enterprises and the Mittelstand
by: Koch, Christopher
Published: (2026)

Recursivism: An Artistic Paradigm for Self-Transforming Art in the Age of AI
by: Koch, Florentin
Published: (2026)

Living Off the LLM: How LLMs Will Change Adversary Tactics
by: Oesch, Sean, et al.
Published: (2025)

PySCIPOpt-ML: Embedding Trained Machine Learning Models into Mixed-Integer Programs
by: Turner, Mark, et al.
Published: (2023)

Constrained Reinforcement Learning with Smoothed Log Barrier Function
by: Zhang, Baohe, et al.
Published: (2024)

The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
by: Sims, Anya, et al.
Published: (2024)

Energy-Based Transfer for Reinforcement Learning
by: Deng, Zeyun, et al.
Published: (2025)

Introducing a Deep Neural Network-based Model Predictive Control Framework for Rapid Controller Implementation
by: Gordon, David C., et al.
Published: (2023)

From Protoscience to Epistemic Monoculture: How Benchmarking Set the Stage for the Deep Learning Revolution
by: Koch, Bernard J., et al.
Published: (2024)

Provably Efficient Reward Transfer in Reinforcement Learning with Discrete Markov Decision Processes
by: Vora, Kevin, et al.
Published: (2025)

Autonomous Reinforcement Learning Robot Control with Intel's Loihi 2 Neuromorphic Hardware
by: Stewart, Kenneth, et al.
Published: (2025)

Continual Model-Based Reinforcement Learning with Hypernetworks
by: Huang, Yizhou, et al.
Published: (2020)

Vejde: A Framework for Inductive Deep Reinforcement Learning Based on Factor Graph Color Refinement
by: Nyberg, Jakob, et al.
Published: (2025)

Reinforcement Learning for Tool-Calling Agents in Fast Healthcare Interoperability Resources (FHIR)
by: Knorr, Marius S., et al.
Published: (2026)

IncidentNet: Traffic Incident Detection, Localization and Severity Estimation with Sparse Sensing
by: Peddiraju, Sai Shashank, et al.
Published: (2024)

The Impact of Structural Changes on Learning Capacity in the Fly Olfactory Neural Circuit
by: Xie, Katherine, et al.
Published: (2025)

Architect in the Loop Agentic Hardware Design and Verification
by: Mohammed, Mubarek
Published: (2025)

COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning
by: Sudusinghe, Chamika, et al.
Published: (2025)

A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
by: Barde, Paul, et al.
Published: (2023)

Learning Quantized Continuous Controllers for Integer Hardware
by: Kresse, Fabian, et al.
Published: (2025)