Co-occurring keywords · papers mentioning both
Papers
DiffOP: Reinforcement Learning of Optimization-Based Control Policies via Implicit Policy Gradients
AAAI 2026
Realistic Internal Dynamics Are Essential for Human-Like Control: An Optimal Feedback Control Perspective
L4DC 2026
DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization
L4DC 2025
Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving
RSS 2025
Model-Based Closed-Loop Control Algorithm for Stochastic Partial Differential Equation Control
IJCAI 2025
The Value of Sensory Information to a Robot
ICLR 2025
ASID: Active Exploration for System Identification in Robotic Manipulation
ICLR 2024
Combining model-based controller and ML advice via convex reparameterization
L4DC 2024
Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space
NeurIPS 2024
Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation
CoRL 2023
Leveraging 3D Reconstruction for Mechanical Search on Cluttered Shelves
CoRL 2023
Model-Based Control with Sparse Neural Dynamics
NeurIPS 2023
Tuning Legged Locomotion Controllers via Safe Bayesian Optimization
CoRL 2023
Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control
L4DC 2022
Tracking and Planning with Spatial World Models
L4DC 2022
Differentiable Fluids with Solid Coupling for Learning and Control
AAAI 2021
Forced Variational Integrator Networks for Prediction and Control of Mechanical Systems
L4DC 2021
LEOC: A Principled Method in Integrating Reinforcement Learning and Classical Control Theory
L4DC 2021
Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity
CoRL 2020
BayesRace: Learning to race autonomously using prior experience
CoRL 2020
Learning Active Task-Oriented Exploration Policies for Bridging the Sim-to-Real Gap
RSS 2020
Learning Compositional Koopman Operators for Model-Based Control
ICLR 2020
Scalable Differentiable Physics for Learning and Control
ICML 2020
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM
ICML 2020
Structured Mechanical Models for Robot Learning and Control
L4DC 2020