Saved in:
| Main Authors: | Nisslbeck, Tim N., Kouw, Wouter M. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.10415 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Message passing-based inference in an autoregressive active inference agent
by: Kouw, Wouter M., et al.
Published: (2025)
by: Kouw, Wouter M., et al.
Published: (2025)
Online Bayesian system identification in multivariate autoregressive models via message passing
by: Nisslbeck, T. N., et al.
Published: (2025)
by: Nisslbeck, T. N., et al.
Published: (2025)
Planning to avoid ambiguous states through Gaussian approximations to non-linear sensors in active inference agents
by: Kouw, Wouter M.
Published: (2024)
by: Kouw, Wouter M.
Published: (2024)
Curvature-aware Expected Free Energy as an Acquisition Function for Bayesian Optimization
by: Meera, Ajith Anil, et al.
Published: (2026)
by: Meera, Ajith Anil, et al.
Published: (2026)
Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics
by: Kouw, Wouter M., et al.
Published: (2024)
by: Kouw, Wouter M., et al.
Published: (2024)
Bayesian autoregression to optimize temporal Matérn kernel Gaussian process hyperparameters
by: Kouw, Wouter M.
Published: (2025)
by: Kouw, Wouter M.
Published: (2025)
An active learning method for solving competitive multi-agent decision-making and control problems
by: Fabiani, Filippo, et al.
Published: (2022)
by: Fabiani, Filippo, et al.
Published: (2022)
Towards safe control parameter tuning in distributed multi-agent systems
by: Tokmak, Abdullah, et al.
Published: (2025)
by: Tokmak, Abdullah, et al.
Published: (2025)
Load constrained wind farm flow control through multi-objective multi-agent reinforcement learning
by: Åstrand, Teodor, et al.
Published: (2026)
by: Åstrand, Teodor, et al.
Published: (2026)
A system identification approach to clustering vector autoregressive time series
by: Yue, Zuogong, et al.
Published: (2025)
by: Yue, Zuogong, et al.
Published: (2025)
Risk-sensitive control as inference with Rényi divergence
by: Ito, Kaito, et al.
Published: (2024)
by: Ito, Kaito, et al.
Published: (2024)
Tracking control of latent dynamic systems with application to spacecraft attitude control
by: Zhang, Congxi, et al.
Published: (2024)
by: Zhang, Congxi, et al.
Published: (2024)
Scalable spectral representations for multi-agent reinforcement learning in network MDPs
by: Ren, Zhaolin, et al.
Published: (2024)
by: Ren, Zhaolin, et al.
Published: (2024)
Learning responsibility allocations for multi-agent interactions: A differentiable optimization approach with control barrier functions
by: Remy, Isaac, et al.
Published: (2024)
by: Remy, Isaac, et al.
Published: (2024)
A semi-centralized multi-agent RL framework for efficient irrigation scheduling
by: Agyeman, Bernard T., et al.
Published: (2024)
by: Agyeman, Bernard T., et al.
Published: (2024)
SafEDMD: A Koopman-based data-driven controller design framework for nonlinear dynamical systems
by: Strässer, Robin, et al.
Published: (2024)
by: Strässer, Robin, et al.
Published: (2024)
Model-free system identification of surface ships in waves via Hankel dynamic mode decomposition with control
by: Palma, Giorgio, et al.
Published: (2025)
by: Palma, Giorgio, et al.
Published: (2025)
Control of dynamical systems with neural networks
by: Böttcher, Lucas
Published: (2025)
by: Böttcher, Lucas
Published: (2025)
A neural network-based approach to hybrid systems identification for control
by: Fabiani, Filippo, et al.
Published: (2024)
by: Fabiani, Filippo, et al.
Published: (2024)
Interpretable machine-learning for predicting molecular weight of PLA based on artificial bee colony optimization algorithm and adaptive neurofuzzy inference system
by: Masoumi, Amir Pouya, et al.
Published: (2025)
by: Masoumi, Amir Pouya, et al.
Published: (2025)
A novel ANROA based control approach for grid-tied multi-functional solar energy conversion system
by: Prasad, Dinanath, et al.
Published: (2024)
by: Prasad, Dinanath, et al.
Published: (2024)
Suppressing unknown disturbances to dynamical systems using machine learning
by: Restrepo, Juan G., et al.
Published: (2023)
by: Restrepo, Juan G., et al.
Published: (2023)
Independent policy gradient-based reinforcement learning for economic and reliable energy management of multi-microgrid systems
by: Hu, Junkai, et al.
Published: (2025)
by: Hu, Junkai, et al.
Published: (2025)
Reservoir computing for system identification and predictive control with limited data
by: Williams, Jan P., et al.
Published: (2024)
by: Williams, Jan P., et al.
Published: (2024)
Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method
by: Caldarelli, Edoardo, et al.
Published: (2024)
by: Caldarelli, Edoardo, et al.
Published: (2024)
Efficient model predictive control for nonlinear systems modelled by deep neural networks
by: Lan, Jianglin
Published: (2024)
by: Lan, Jianglin
Published: (2024)
What can we learn from signals and systems in a transformer? Insights for probabilistic modeling and inference architecture
by: Chang, Heng-Sheng, et al.
Published: (2025)
by: Chang, Heng-Sheng, et al.
Published: (2025)
Suboptimality analysis of receding horizon quadratic control with unknown linear systems and its applications in learning-based control
by: Shi, Shengling, et al.
Published: (2023)
by: Shi, Shengling, et al.
Published: (2023)
Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)
GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systems
by: van Laatum, Bart, et al.
Published: (2024)
by: van Laatum, Bart, et al.
Published: (2024)
One-shot backpropagation for multi-step prediction in physics-based system identification -- EXTENDED VERSION
by: Donati, Cesare, et al.
Published: (2023)
by: Donati, Cesare, et al.
Published: (2023)
Direct transfer of optimized controllers to similar systems using dimensionless MPC
by: Hromatko, Josip Kir, et al.
Published: (2025)
by: Hromatko, Josip Kir, et al.
Published: (2025)
End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic data
by: Chatzikiriakos, Nicolas, et al.
Published: (2024)
by: Chatzikiriakos, Nicolas, et al.
Published: (2024)
Learning linear dynamical systems under convex constraints
by: Tyagi, Hemant, et al.
Published: (2023)
by: Tyagi, Hemant, et al.
Published: (2023)
Delay compensation of multi-input distinct delay nonlinear systems via neural operators
by: Bajraktari, Filip, et al.
Published: (2025)
by: Bajraktari, Filip, et al.
Published: (2025)
Learning mechanical systems from real-world data using discrete forced Lagrangian dynamics
by: Hansen, Martine Dyring, et al.
Published: (2025)
by: Hansen, Martine Dyring, et al.
Published: (2025)
Approximate non-linear model predictive control with safety-augmented neural networks
by: Hose, Henrik, et al.
Published: (2023)
by: Hose, Henrik, et al.
Published: (2023)
Operator learning for energy-efficient building ventilation control with computational fluid dynamics simulation of a real-world classroom
by: Bian, Yuexin, et al.
Published: (2025)
by: Bian, Yuexin, et al.
Published: (2025)
Singularity-free dynamical invariants-based quantum control
by: Sareen, Ritik, et al.
Published: (2025)
by: Sareen, Ritik, et al.
Published: (2025)
Recurrent neural network-based robust control systems with regional properties and application to MPC design
by: Ravasio, Daniele, et al.
Published: (2025)
by: Ravasio, Daniele, et al.
Published: (2025)
Similar Items
-
Message passing-based inference in an autoregressive active inference agent
by: Kouw, Wouter M., et al.
Published: (2025) -
Online Bayesian system identification in multivariate autoregressive models via message passing
by: Nisslbeck, T. N., et al.
Published: (2025) -
Planning to avoid ambiguous states through Gaussian approximations to non-linear sensors in active inference agents
by: Kouw, Wouter M.
Published: (2024) -
Curvature-aware Expected Free Energy as an Acquisition Function for Bayesian Optimization
by: Meera, Ajith Anil, et al.
Published: (2026) -
Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics
by: Kouw, Wouter M., et al.
Published: (2024)