Saved in:
| Main Authors: | Mamedov, Shamil, Geist, A. René, Swevers, Jan, Trimpe, Sebastian |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2307.07975 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning deformable linear object dynamics from a single trajectory
by: Mamedov, Shamil, et al.
Published: (2024)
by: Mamedov, Shamil, et al.
Published: (2024)
Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots
by: Mamedov, Shamil, et al.
Published: (2022)
by: Mamedov, Shamil, et al.
Published: (2022)
Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification
by: Trinh, Minh, et al.
Published: (2025)
by: Trinh, Minh, et al.
Published: (2025)
CHEQ-ing the Box: Safe Variable Impedance Learning for Robotic Polishing
by: Cramer, Emma, et al.
Published: (2025)
by: Cramer, Emma, et al.
Published: (2025)
Learning to Race in Minutes: Infoprop Dyna on the Mini Wheelbot
by: Subhasish, Devdutt, et al.
Published: (2026)
by: Subhasish, Devdutt, et al.
Published: (2026)
On Foundation Models for Dynamical Systems from Purely Synthetic Data
by: Ziegler, Martin, et al.
Published: (2024)
by: Ziegler, Martin, et al.
Published: (2024)
Tracking Object Positions in Reinforcement Learning: A Metric for Keypoint Detection (extended version)
by: Cramer, Emma, et al.
Published: (2023)
by: Cramer, Emma, et al.
Published: (2023)
Safe Value Functions
by: Massiani, Pierre-François, et al.
Published: (2021)
by: Massiani, Pierre-François, et al.
Published: (2021)
Learning 3D-Gaussian Simulators from RGB Videos
by: Zhobro, Mikel, et al.
Published: (2025)
by: Zhobro, Mikel, et al.
Published: (2025)
Simulation-Aided Policy Tuning for Black-Box Robot Learning
by: He, Shiming, et al.
Published: (2024)
by: He, Shiming, et al.
Published: (2024)
Learning with 3D rotations, a hitchhiker's guide to SO(3)
by: Geist, A. René, et al.
Published: (2024)
by: Geist, A. René, et al.
Published: (2024)
A transformer-based deep reinforcement learning approach to spatial navigation in a partially observable Morris Water Maze
by: Eggen, Marte, et al.
Published: (2024)
by: Eggen, Marte, et al.
Published: (2024)
Leveraging Procedural Generation for Learning Autonomous Peg-in-Hole Assembly in Space
by: Orsula, Andrej, et al.
Published: (2024)
by: Orsula, Andrej, et al.
Published: (2024)
Space Robotics Bench: Robot Learning Beyond Earth
by: Orsula, Andrej, et al.
Published: (2025)
by: Orsula, Andrej, et al.
Published: (2025)
Learning Tool-Aware Adaptive Compliant Control for Autonomous Regolith Excavation
by: Orsula, Andrej, et al.
Published: (2025)
by: Orsula, Andrej, et al.
Published: (2025)
Sim2Dust: Mastering Dynamic Waypoint Tracking on Granular Media
by: Orsula, Andrej, et al.
Published: (2025)
by: Orsula, Andrej, et al.
Published: (2025)
Mechanistic interpretability for steering vision-language-action models
by: Häon, Bear, et al.
Published: (2025)
by: Häon, Bear, et al.
Published: (2025)
Population-aware Online Mirror Descent for Mean-Field Games with Common Noise by Deep Reinforcement Learning
by: Wu, Zida, et al.
Published: (2025)
by: Wu, Zida, et al.
Published: (2025)
Pseudo-Hamiltonian neural networks for learning partial differential equations
by: Eidnes, Sølve, et al.
Published: (2023)
by: Eidnes, Sølve, et al.
Published: (2023)
Robustified Time-optimal Point-to-point Motion Planning and Control under Uncertainty
by: Zhang, Shuhao, et al.
Published: (2025)
by: Zhang, Shuhao, et al.
Published: (2025)
Time-optimal Point-to-point Motion Planning: A Two-stage Approach
by: Zhang, Shuhao, et al.
Published: (2024)
by: Zhang, Shuhao, et al.
Published: (2024)
Non-parametric regression for robot learning on manifolds
by: Lopez-Custodio, P. C., et al.
Published: (2023)
by: Lopez-Custodio, P. C., et al.
Published: (2023)
Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling research
by: Dohmen, Jan, et al.
Published: (2024)
by: Dohmen, Jan, et al.
Published: (2024)
Driving pattern interpretation based on action phases clustering
by: Yao, Xue, et al.
Published: (2024)
by: Yao, Xue, et al.
Published: (2024)
The Mini Wheelbot: A Testbed for Learning-based Balancing, Flips, and Articulated Driving
by: Hose, Henrik, et al.
Published: (2025)
by: Hose, Henrik, et al.
Published: (2025)
Differentiable Simulation of Hard Contacts with Soft Gradients for Learning and Control
by: Paulus, Anselm, et al.
Published: (2025)
by: Paulus, Anselm, et al.
Published: (2025)
MPX: Mixed Precision Training for JAX
by: Gräfe, Alexander, et al.
Published: (2025)
by: Gräfe, Alexander, et al.
Published: (2025)
BayeSQP: Bayesian Optimization through Sequential Quadratic Programming
by: Brunzema, Paul, et al.
Published: (2026)
by: Brunzema, Paul, et al.
Published: (2026)
Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control Priors
by: Cramer, Emma, et al.
Published: (2024)
by: Cramer, Emma, et al.
Published: (2024)
Effect of Optimizer, Initializer, and Architecture of Hypernetworks on Continual Learning from Demonstration
by: Auddy, Sayantan, et al.
Published: (2023)
by: Auddy, Sayantan, et al.
Published: (2023)
Inverting Non-Injective Functions with Twin Neural Network Regression
by: Wetzel, Sebastian J.
Published: (2026)
by: Wetzel, Sebastian J.
Published: (2026)
Safe reinforcement learning in uncertain contexts
by: Baumann, Dominik, et al.
Published: (2024)
by: Baumann, Dominik, et al.
Published: (2024)
Accelerated Spline-Based Time-Optimal Motion Planning with Continuous Safety Guarantees for Non-Differentially Flat Systems
by: Dirckx, Dries, et al.
Published: (2026)
by: Dirckx, Dries, et al.
Published: (2026)
Weber-Fechner Law in Temporal Difference learning derived from Control as Inference
by: Takahashi, Keiichiro, et al.
Published: (2024)
by: Takahashi, Keiichiro, et al.
Published: (2024)
ResMimic: From General Motion Tracking to Humanoid Whole-body Loco-Manipulation via Residual Learning
by: Zhao, Siheng, et al.
Published: (2025)
by: Zhao, Siheng, et al.
Published: (2025)
Off-dynamics Conditional Diffusion Planners
by: Ng, Wen Zheng Terence, et al.
Published: (2024)
by: Ng, Wen Zheng Terence, et al.
Published: (2024)
SoftMimic: Learning Compliant Whole-body Control from Examples
by: Margolis, Gabriel B., et al.
Published: (2025)
by: Margolis, Gabriel B., et al.
Published: (2025)
Path Following and Stabilisation of a Bicycle Model using a Reinforcement Learning Approach
by: Weyrer, Sebastian, et al.
Published: (2024)
by: Weyrer, Sebastian, et al.
Published: (2024)
Pseudo-Simulation for Autonomous Driving
by: Cao, Wei, et al.
Published: (2025)
by: Cao, Wei, et al.
Published: (2025)
Reinforcement learning with timed constraints for robotics motion planning
by: Wang, Zhaoan, et al.
Published: (2025)
by: Wang, Zhaoan, et al.
Published: (2025)
Similar Items
-
Learning deformable linear object dynamics from a single trajectory
by: Mamedov, Shamil, et al.
Published: (2024) -
Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots
by: Mamedov, Shamil, et al.
Published: (2022) -
Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification
by: Trinh, Minh, et al.
Published: (2025) -
CHEQ-ing the Box: Safe Variable Impedance Learning for Robotic Polishing
by: Cramer, Emma, et al.
Published: (2025) -
Learning to Race in Minutes: Infoprop Dyna on the Mini Wheelbot
by: Subhasish, Devdutt, et al.
Published: (2026)