Neural Internal Model Control: Learning a Robust Control Policy via Predictive Error Feedback
Fuente:
arXiv
Saved in:
| Main Authors: | Gao, Feng, Yu, Chao, Wang, Yu, Wu, Yi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
by: Xu, Botian, et al.
Published: (2023)
by: Xu, Botian, et al.
Published: (2023)
NPC: Neural Predictive Control for Fuel-Efficient Autonomous Trucks
by: Ren, Jiaping, et al.
Published: (2024)
by: Ren, Jiaping, et al.
Published: (2024)
Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning
by: Sato, Hiroshi, et al.
Published: (2024)
by: Sato, Hiroshi, et al.
Published: (2024)
LeTac-MPC: Learning Model Predictive Control for Tactile-reactive Grasping
by: Xu, Zhengtong, et al.
Published: (2024)
by: Xu, Zhengtong, et al.
Published: (2024)
Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning
by: Kim, Moo Jin, et al.
Published: (2026)
by: Kim, Moo Jin, et al.
Published: (2026)
Reinforcement Learning from Implicit Neural Feedback for Human-Aligned Robot Control
by: Kim, Suzie
Published: (2025)
by: Kim, Suzie
Published: (2025)
Hybrid Model Predictive Control with Physics-Informed Neural Network for Satellite Attitude Control
by: Cena, Carlo, et al.
Published: (2026)
by: Cena, Carlo, et al.
Published: (2026)
Learning the Generalizable Manipulation Skills on Soft-body Tasks via Guided Self-attention Behavior Cloning Policy
by: Li, Xuetao, et al.
Published: (2024)
by: Li, Xuetao, et al.
Published: (2024)
Flow Policy Gradients for Robot Control
by: Yi, Brent, et al.
Published: (2026)
by: Yi, Brent, et al.
Published: (2026)
Flexible Locomotion Learning with Diffusion Model Predictive Control
by: Huang, Runhan, et al.
Published: (2025)
by: Huang, Runhan, et al.
Published: (2025)
Enhanced Prediction of Multi-Agent Trajectories via Control Inference and State-Space Dynamics
by: Zhang, Yu, et al.
Published: (2024)
by: Zhang, Yu, et al.
Published: (2024)
Model Predictive Control for Crowd Navigation via Learning-Based Trajectory Prediction
by: Aslam, Mohamed Parvez, et al.
Published: (2025)
by: Aslam, Mohamed Parvez, et al.
Published: (2025)
Robust Deterministic Policy Gradient for Disturbance Attenuation and Its Application to Quadrotor Control
by: Lee, Taeho, et al.
Published: (2025)
by: Lee, Taeho, et al.
Published: (2025)
Subequivariant Reinforcement Learning Framework for Coordinated Motion Control
by: Wang, Haoyu, et al.
Published: (2024)
by: Wang, Haoyu, et al.
Published: (2024)
Q-Guided Stein Variational Model Predictive Control via RL-informed Policy Prior
by: Cai, Shizhe, et al.
Published: (2025)
by: Cai, Shizhe, et al.
Published: (2025)
VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play
by: Xu, Zelai, et al.
Published: (2025)
by: Xu, Zelai, et al.
Published: (2025)
AirScape: An Aerial Generative World Model with Motion Controllability
by: Zhao, Baining, et al.
Published: (2025)
by: Zhao, Baining, et al.
Published: (2025)
Information-Theoretic Graph Fusion with Vision-Language-Action Model for Policy Reasoning and Dual Robotic Control
by: Li, Shunlei, et al.
Published: (2025)
by: Li, Shunlei, et al.
Published: (2025)
Bootstrapped Model Predictive Control
by: Wang, Yuhang, et al.
Published: (2025)
by: Wang, Yuhang, et al.
Published: (2025)
Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees
by: Ma, Xinhang, et al.
Published: (2025)
by: Ma, Xinhang, et al.
Published: (2025)
Prediction with Action: Visual Policy Learning via Joint Denoising Process
by: Guo, Yanjiang, et al.
Published: (2024)
by: Guo, Yanjiang, et al.
Published: (2024)
Learning to Control Dynamical Agents via Spiking Neural Networks and Metropolis-Hastings Sampling
by: Safa, Ali, et al.
Published: (2025)
by: Safa, Ali, et al.
Published: (2025)
Masked Generative Policy for Robotic Control
by: Zhuang, Lipeng, et al.
Published: (2025)
by: Zhuang, Lipeng, et al.
Published: (2025)
Feedback World Model Enables Precise Guidance of Diffusion Policy
by: An, Tuo, et al.
Published: (2026)
by: An, Tuo, et al.
Published: (2026)
Partial End-to-end Reinforcement Learning for Robustness Against Modelling Error in Autonomous Racing
by: Murdoch, Andrew, et al.
Published: (2023)
by: Murdoch, Andrew, et al.
Published: (2023)
Real-Time Gait Adaptation for Quadrupeds using Model Predictive Control and Reinforcement Learning
by: Kotecha, Prakrut, et al.
Published: (2025)
by: Kotecha, Prakrut, et al.
Published: (2025)
Spiking Neural Networks for Continuous Control via End-to-End Model-Based Learning
by: Huebotter, Justus, et al.
Published: (2025)
by: Huebotter, Justus, et al.
Published: (2025)
Learning Native Continuation for Action Chunking Flow Policies
by: Liu, Yufeng, et al.
Published: (2026)
by: Liu, Yufeng, et al.
Published: (2026)
AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning
by: Wang, Yuanfei, et al.
Published: (2025)
by: Wang, Yuanfei, et al.
Published: (2025)
World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation
by: Jiang, Zhennan, et al.
Published: (2025)
by: Jiang, Zhennan, et al.
Published: (2025)
M$^{2}$GRPO: Mamba-based Multi-Agent Group Relative Policy Optimization for Biomimetic Underwater Robots Pursuit
by: Feng, Yukai, et al.
Published: (2026)
by: Feng, Yukai, et al.
Published: (2026)
Learning Through Retrospection: Improving Trajectory Prediction for Automated Driving with Error Feedback
by: Hagedorn, Steffen, et al.
Published: (2025)
by: Hagedorn, Steffen, et al.
Published: (2025)
Improving Generalization in Aerial and Terrestrial Mobile Robots Control Through Delayed Policy Learning
by: Grando, Ricardo B., et al.
Published: (2024)
by: Grando, Ricardo B., et al.
Published: (2024)
Information-Theoretic Framework for Self-Adapting Model Predictive Controllers
by: Hafez, Wael, et al.
Published: (2026)
by: Hafez, Wael, et al.
Published: (2026)
ForeDiffusion: Foresight-Conditioned Diffusion Policy via Future View Construction for Robot Manipulation
by: Xie, Weize, et al.
Published: (2026)
by: Xie, Weize, et al.
Published: (2026)
Adversarial Fine-tuning in Offline-to-Online Reinforcement Learning for Robust Robot Control
by: Ayabe, Shingo, et al.
Published: (2025)
by: Ayabe, Shingo, et al.
Published: (2025)
InCoRo: In-Context Learning for Robotics Control with Feedback Loops
by: Zhu, Jiaqiang Ye, et al.
Published: (2024)
by: Zhu, Jiaqiang Ye, et al.
Published: (2024)
CubeRobot: Grounding Language in Rubik's Cube Manipulation via Vision-Language Model
by: Wang, Feiyang, et al.
Published: (2025)
by: Wang, Feiyang, et al.
Published: (2025)
LeTO: Learning Constrained Visuomotor Policy with Differentiable Trajectory Optimization
by: Xu, Zhengtong, et al.
Published: (2024)
by: Xu, Zhengtong, et al.
Published: (2024)
Distributed Robust Learning based Formation Control of Mobile Robots based on Bioinspired Neural Dynamics
by: Xu, Zhe, et al.
Published: (2024)
by: Xu, Zhe, et al.
Published: (2024)
Similar Items
-
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
by: Xu, Botian, et al.
Published: (2023) -
NPC: Neural Predictive Control for Fuel-Efficient Autonomous Trucks
by: Ren, Jiaping, et al.
Published: (2024) -
Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning
by: Sato, Hiroshi, et al.
Published: (2024) -
LeTac-MPC: Learning Model Predictive Control for Tactile-reactive Grasping
by: Xu, Zhengtong, et al.
Published: (2024) -
Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning
by: Kim, Moo Jin, et al.
Published: (2026)