Cover Image

Coordinating Planning and Tracking in Layered Control Policies via Actor-Critic Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Fengjun, Matni, Nikolai
Format:	Preprint
Published:	2024
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

Scalable Distributed Nonlinear Control Under Flatness-Preserving Coupling
by: Yang, Fengjun, et al.
Published: (2025)

Learning Flatness-Preserving Residuals for Pure-Feedback Systems
by: Yang, Fengjun, et al.
Published: (2025)

Single Trajectory Conformal Prediction
by: Lee, Brian, et al.
Published: (2024)

Nonasymptotic Regret Analysis of Adaptive Linear Quadratic Control with Model Misspecification
by: Lee, Bruce D., et al.
Published: (2023)

Distributionally Robust Imitation Learning: Layered Control Architecture for Certifiable Autonomy
by: Gahlawat, Aditya, et al.
Published: (2025)

Active Learning for Control-Oriented Identification of Nonlinear Systems
by: Lee, Bruce D., et al.
Published: (2024)

Policy Gradient for LQR with Domain Randomization
by: Fujinami, Tesshu, et al.
Published: (2025)

Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control
by: Lee, Bruce D., et al.
Published: (2024)

Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations
by: Lindemann, Lars, et al.
Published: (2021)

State space models, emergence, and ergodicity: How many parameters are needed for stable predictions?
by: Ziemann, Ingvar, et al.
Published: (2024)

Multi-Agent Soft Actor-Critic with Coordinated Loss for Autonomous Mobility-on-Demand Fleet Control
by: Woywood, Zeno, et al.
Published: (2024)

Quasi-Newton Compatible Actor-Critic for Deterministic Policies
by: Kordabad, Arash Bahari, et al.
Published: (2025)

Action Chunking and Exploratory Data Collection Yield Exponential Improvements in Behavior Cloning for Continuous Control
by: Zhang, Thomas T., et al.
Published: (2025)

Learning with Imperfect Models: When Multi-step Prediction Mitigates Compounding Error
by: Somalwar, Anne, et al.
Published: (2025)

Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data
by: Zhang, Thomas T. C. K., et al.
Published: (2023)

Why Change Your Controller When You Can Change Your Planner: Drag-Aware Trajectory Generation for Quadrotor Systems
by: Zhang, Hanli, et al.
Published: (2024)

Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
by: Zhang, Thomas T., et al.
Published: (2024)

Alleviating Community Fear in Disasters via Multi-Agent Actor-Critic Reinforcement Learning
by: Hakke, Yashodhan D., et al.
Published: (2026)

A Pontryagin Method of Model-based Reinforcement Learning via Hamiltonian Actor-Critic
by: Gu, Chengyang, et al.
Published: (2026)

Actor-Critic Physics-informed Neural Lyapunov Control
by: Wang, Jiarui, et al.
Published: (2024)

Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning
by: Baheri, Ali, et al.
Published: (2025)

Wasserstein Barycenter Soft Actor-Critic
by: Shahrooei, Zahra, et al.
Published: (2025)

Distributional Soft Actor-Critic with Three Refinements
by: Duan, Jingliang, et al.
Published: (2023)

A Tutorial on the Non-Asymptotic Theory of System Identification
by: Ziemann, Ingvar, et al.
Published: (2023)

Learning for Layered Safety-Critical Control with Predictive Control Barrier Functions
by: Compton, William D., et al.
Published: (2024)

Bounded Exploration with World Model Uncertainty in Soft Actor-Critic Reinforcement Learning Algorithm
by: Qiao, Ting, et al.
Published: (2024)

Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts
by: Enders, Tobias, et al.
Published: (2024)

Safe Planning in Interactive Environments via Iterative Policy Updates and Adversarially Robust Conformal Prediction
by: Mirzaeedodangeh, Omid, et al.
Published: (2025)

Quad-LCD: Layered Control Decomposition Enables Actuator-Feasible Quadrotor Trajectory Planning
by: Srikanthan, Anusha, et al.
Published: (2025)

Can an Actor-Critic Optimization Framework Improve Analog Design Optimization?
by: Dutta, Sounak, et al.
Published: (2026)

MSACL: Multi-Step Actor-Critic Learning with Lyapunov Certificates for Exponentially Stabilizing Control
by: Zhang, Yongwei, et al.
Published: (2025)

Frugal Actor-Critic: Sample Efficient Off-Policy Deep Reinforcement Learning Using Unique Experiences
by: Singh, Nikhil Kumar, et al.
Published: (2024)

ISAACS: Iterative Soft Adversarial Actor-Critic for Safety
by: Hsu, Kai-Chieh, et al.
Published: (2022)

Stochastic Actor-Critic: Mitigating Overestimation via Temporal Aleatoric Uncertainty
by: Özalp, Uğurcan
Published: (2026)

A Quantitative Framework for Navigating Controller Design Tradeoffs under Computational Constraints
by: Verhoek, Chris, et al.
Published: (2026)

On Globally Optimal Stochastic Policy Gradient Methods for Domain Randomized LQR Synthesis
by: Nguyen-Le, Alex, et al.
Published: (2026)

ACING: Actor-Critic for Instruction Learning in Black-Box LLMs
by: Kharrat, Salma, et al.
Published: (2024)

Deep-Learning-Directed Preventive Dynamic Security Control via Coordinated Demand Response
by: Masoumi, Amin, et al.
Published: (2025)

Physics-Guided Actor-Critic Reinforcement Learning for Swimming in Turbulence
by: Koh, Christopher, et al.
Published: (2024)

Zeroth-Order Actor-Critic: An Evolutionary Framework for Sequential Decision Problems
by: Lei, Yuheng, et al.
Published: (2022)