Cover Image

Dyna-Style Reinforcement Learning Modeling and Control of Non-linear Dynamics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Abdelsalam, Karim, Gamal, Zeyad, El-Badawy, Ayman
Format:	Preprint
Published:	2025
Subjects:	Systems and Control Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dynamic Entropy Tuning in Reinforcement Learning Low-Level Quadcopter Control: Stochasticity vs Determinism
by: Mahran, Youssef, et al.
Published: (2025)

Reinforcement Learning Position Control of a Quadrotor Using Soft Actor-Critic (SAC)
by: Mahran, Youssef, et al.
Published: (2025)

Network Distributed Multi-Agent Reinforcement Learning for Consensus Control of Quadcopters
by: Mahran, Youssef, et al.
Published: (2026)

When to Trust Your Data: Enhancing Dyna-Style Model-Based Reinforcement Learning With Data Filter
by: Li, Yansong, et al.
Published: (2024)

Integrating Lagrangian Neural Networks into the Dyna Framework for Reinforcement Learning
by: Das, Shreya, et al.
Published: (2026)

Predictive Safety Shield for Dyna-Q Reinforcement Learning
by: Pin, Jin, et al.
Published: (2025)

DynaMark: A Reinforcement Learning Framework for Dynamic Watermarking in Industrial Machine Tool Controllers
by: Aftabi, Navid, et al.
Published: (2025)

Counter-Dyna: Data-Efficient RL-Based HVAC Control using Counterfactual Building Models
by: de Vargas, Jan Marco Ruiz, et al.
Published: (2026)

Descriptive versus Regulatory Uncertainty in Bounded Predictive Systems
by: Eldin, Ahmed Gamal
Published: (2026)

Reinforcement Learning in Non-Markovian Environments
by: Chandak, Siddharth, et al.
Published: (2022)

End-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear Model Predictive Control
by: Mayfrank, Daniel, et al.
Published: (2023)

Koopman-Based Event-Triggered Control from Data
by: Manaa, Zeyad M., et al.
Published: (2025)

Comparative Field Deployment of Reinforcement Learning and Model Predictive Control for Residential HVAC
by: Mulayim, Ozan Baris, et al.
Published: (2025)

Control in Stochastic Environment with Delays: A Model-based Reinforcement Learning Approach
by: Yao, Zhiyuan, et al.
Published: (2024)

MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control
by: Lu, Yiwen, et al.
Published: (2023)

Nuclear Microreactor Control with Deep Reinforcement Learning
by: Tunkle, Leo, et al.
Published: (2025)

Model-Based Reinforcement Learning Control of Reaction-Diffusion Problems
by: Schenk, Christina, et al.
Published: (2024)

Robust Model Based Reinforcement Learning Using $\mathcal{L}_1$ Adaptive Control
by: Sung, Minjun, et al.
Published: (2024)

Model-free Reinforcement Learning for Model-based Control: Towards Safe, Interpretable and Sample-efficient Agents
by: Banker, Thomas, et al.
Published: (2025)

Target Parameterization in Diffusion Models for Nonlinear Spatiotemporal System Identification
by: Messaoudi, Achraf El, et al.
Published: (2026)

A Reinforcement Learning Approach for Optimal Control in Microgrids
by: Salaorni, Davide, et al.
Published: (2025)

Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning
by: Lopez, Antonio, et al.
Published: (2024)

Actively Learning Reinforcement Learning: A Stochastic Optimal Control Approach
by: Ramadan, Mohammad S., et al.
Published: (2023)

A neural operator for predicting vibration frequency response curves from limited data
by: Bluedorn, D., et al.
Published: (2026)

Optimization of the Model Predictive Control Meta-Parameters Through Reinforcement Learning
by: Bøhn, Eivind, et al.
Published: (2021)

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

Investigating the Impact of Choice on Deep Reinforcement Learning for Space Controls
by: Hamilton, Nathaniel, et al.
Published: (2024)

Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control
by: Cao, Wenhan, et al.
Published: (2024)

Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning
by: De Lellis, Francesco, et al.
Published: (2023)

HPC Application Parameter Autotuning on Edge Devices: A Bandit Learning Approach
by: Hossain, Abrar, et al.
Published: (2025)

Learning Optimal Control and Dynamical Structure of Global Trajectory Search Problems with Diffusion Models
by: Graebner, Jannik, et al.
Published: (2024)

HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks
by: Gornet, Jonathan, et al.
Published: (2025)

Reinforcement Learning of Structured Control for Linear Systems with Unknown State Matrix
by: Mukherjee, Sayak, et al.
Published: (2020)

Stable Inverse Reinforcement Learning: Policies from Control Lyapunov Landscapes
by: Tesfazgi, Samuel, et al.
Published: (2024)

A Safe Reinforcement Learning Algorithm for Supervisory Control of Power Plants
by: Sun, Yixuan, et al.
Published: (2024)

Accelerating Reinforcement Learning for Wind Farm Control via Expert Demonstrations
by: Nilsen, Marcus Binder, et al.
Published: (2026)

Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control
by: Müller, Arthur, et al.
Published: (2021)

Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets
by: Covone, Stefano, et al.
Published: (2025)

Safe Guaranteed Exploration for Non-linear Systems
by: Prajapat, Manish, et al.
Published: (2024)

End-to-End Learning Framework for Solving Non-Markovian Optimal Control
by: Zhang, Xiaole, et al.
Published: (2025)