Collision probability reduction method for tracking control in automatic docking / berthing using reinforcement learning
Fuente:
arXiv
Saved in:
| Main Authors: | Wakita, Kouki, Akimoto, Youhei, Rachman, Dimas M., Miyauchi, Yoshiki, Naoya, Umeda, Maki, Atsuo |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On Neural Network Identification for Low-Speed Ship Maneuvering Model
by: Wakita, Kouki, et al.
Published: (2021)
by: Wakita, Kouki, et al.
Published: (2021)
Data Augmentation Methods of Dynamic Model Identification for Harbor Maneuvers using Feedforward Neural Network
by: Wakita, Kouki, et al.
Published: (2023)
by: Wakita, Kouki, et al.
Published: (2023)
Simultaneous optimization of control gains and reference filter coefficients for trajectory tracking control
by: Sakanashi, Amane, et al.
Published: (2024)
by: Sakanashi, Amane, et al.
Published: (2024)
Probabilistic Prediction of Ship Maneuvering Motion using Ensemble Learning with Feedforward Neural Networks
by: Wakita, Kouki, et al.
Published: (2024)
by: Wakita, Kouki, et al.
Published: (2024)
A Practical and Online Trajectory Planner for Autonomous Ships' Berthing, Incorporating Speed Control
by: Mwange, Agnes Ngina, et al.
Published: (2024)
by: Mwange, Agnes Ngina, et al.
Published: (2024)
Quantitative Evaluation of Full-Scale Ship Maneuvering Characteristics During Berthing and Unberthing
by: Mwange, Agnes N., et al.
Published: (2024)
by: Mwange, Agnes N., et al.
Published: (2024)
Perspective on the Marine Simulator for Autonomous Vessel Development
by: Sawada, Ryouhei, et al.
Published: (2024)
by: Sawada, Ryouhei, et al.
Published: (2024)
CMA-ES with Learning Rate Adaptation
by: Nomura, Masahiro, et al.
Published: (2024)
by: Nomura, Masahiro, et al.
Published: (2024)
Policy Iteration for Two-Player General-Sum Stochastic Stackelberg Games
by: Kudo, Mikoto, et al.
Published: (2024)
by: Kudo, Mikoto, et al.
Published: (2024)
Learning to control inexact Benders decomposition via reinforcement learning
by: Li, Zhe, et al.
Published: (2025)
by: Li, Zhe, et al.
Published: (2025)
A state reduction approach for learning-based model predictive control for train rescheduling
by: da Silva, Caio Fabio Oliveira, et al.
Published: (2025)
by: da Silva, Caio Fabio Oliveira, et al.
Published: (2025)
On the optimal pivot path of simplex method for linear programming based on reinforcement learning
by: Li, Anqi, et al.
Published: (2022)
by: Li, Anqi, et al.
Published: (2022)
A cost function approximation method for dynamic vehicle routing with docking and LIFO constraints
by: Horváth, Markó, et al.
Published: (2024)
by: Horváth, Markó, et al.
Published: (2024)
Avoidance of an unexpected obstacle without reinforcement learning: Why not using advanced control-theoretic tools?
by: Join, Cédric, et al.
Published: (2025)
by: Join, Cédric, et al.
Published: (2025)
Inverse reinforcement learning by expert imitation for the stochastic linear-quadratic optimal control problem
by: Sun, Zhongshi, et al.
Published: (2024)
by: Sun, Zhongshi, et al.
Published: (2024)
Bandwidth reduction methods for packetized MPC over lossy networks
by: Mingoia, Alberto, et al.
Published: (2026)
by: Mingoia, Alberto, et al.
Published: (2026)
On optimal tracking portfolio in incomplete markets: The reinforcement learning approach
by: Bo, Lijun, et al.
Published: (2023)
by: Bo, Lijun, et al.
Published: (2023)
Model-free $H_{\infty}$ control of Itô stochastic system via off-policy reinforcement learning
by: Guo, Jing Guo Jing, et al.
Published: (2024)
by: Guo, Jing Guo Jing, et al.
Published: (2024)
A model reduction method based on nonlinear optimization for multiscale stochastic optimal control problems
by: Ma, Lingling, et al.
Published: (2025)
by: Ma, Lingling, et al.
Published: (2025)
Dual-quaternion learning control for autonomous vehicle trajectory tracking with safety guarantees
by: Nieto, Omayra Yago, et al.
Published: (2026)
by: Nieto, Omayra Yago, et al.
Published: (2026)
Stochastic Differential Dynamic Programming for Trajectory Optimization under Partial Observability
by: Fujiwara, Masahiro, et al.
Published: (2026)
by: Fujiwara, Masahiro, et al.
Published: (2026)
Safe continual learning in model predictive control with prescribed bounds on the tracking error
by: Lanza, Lukas, et al.
Published: (2023)
by: Lanza, Lukas, et al.
Published: (2023)
Two-stage Distributionally Robust Optimization for Cross-dock Door Design
by: Escudero, Laureano F., et al.
Published: (2025)
by: Escudero, Laureano F., et al.
Published: (2025)
The minimal hitting probability of continuous-time controlled Markov systems with countable states
by: Li, Yanyun, et al.
Published: (2024)
by: Li, Yanyun, 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)
Further extensions on the successive approximation method for hierarchical optimal control problems and its application to learning
by: Befekadu, Getachew K.
Published: (2024)
by: Befekadu, Getachew K.
Published: (2024)
Increasing Both Batch Size and Learning Rate Accelerates Stochastic Gradient Descent
by: Umeda, Hikaru, et al.
Published: (2024)
by: Umeda, Hikaru, et al.
Published: (2024)
Optimal Growth Schedules for Batch Size and Learning Rate in SGD that Reduce SFO Complexity
by: Umeda, Hikaru, et al.
Published: (2025)
by: Umeda, Hikaru, et al.
Published: (2025)
Adaptive Batch Size and Learning Rate Scheduler for Stochastic Gradient Descent Based on Minimization of Stochastic First-order Oracle Complexity
by: Umeda, Hikaru, et al.
Published: (2025)
by: Umeda, Hikaru, et al.
Published: (2025)
Scaling policy iteration based reinforcement learning for unknown discrete-time linear systems
by: Pang, Zhen, et al.
Published: (2024)
by: Pang, Zhen, et al.
Published: (2024)
A non-zero-sum game with reinforcement learning under mean-variance framework
by: Guo, Junyi, et al.
Published: (2025)
by: Guo, Junyi, et al.
Published: (2025)
Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior
by: Lawrence, Nathan P., et al.
Published: (2023)
by: Lawrence, Nathan P., et al.
Published: (2023)
Integral control of the proximal gradient method for unbiased sparse optimization
by: Cerone, V., et al.
Published: (2025)
by: Cerone, V., et al.
Published: (2025)
Hands-Off Covariance Steering: Inducing Feedback Sparsity via Iteratively Reweighted $\ell_{1,p}$ Regularization
by: Kumagai, Naoya, et al.
Published: (2025)
by: Kumagai, Naoya, et al.
Published: (2025)
Square Root-Factorized Covariance Steering
by: Kumagai, Naoya, et al.
Published: (2026)
by: Kumagai, Naoya, et al.
Published: (2026)
Robust Cislunar Low-Thrust Trajectory Optimization under Uncertainties via Sequential Covariance Steering
by: Kumagai, Naoya, et al.
Published: (2025)
by: Kumagai, Naoya, et al.
Published: (2025)
Chance-Constrained Gaussian Mixture Steering to a Terminal Gaussian Distribution
by: Kumagai, Naoya, et al.
Published: (2024)
by: Kumagai, Naoya, et al.
Published: (2024)
Backstepping-based tracking control of the vertical gradient freeze crystal growth process
by: Ecklebe, Stefan, et al.
Published: (2023)
by: Ecklebe, Stefan, et al.
Published: (2023)
A deep learning approach to multi-marginal optimal transport via Hilbert space embeddings of probability measures
by: Nakano, Yumiharu, et al.
Published: (2025)
by: Nakano, Yumiharu, et al.
Published: (2025)
Importance sampling-based gradient method for dimension reduction in Poisson log-normal model
by: Batardière, Bastien, et al.
Published: (2024)
by: Batardière, Bastien, et al.
Published: (2024)
Similar Items
-
On Neural Network Identification for Low-Speed Ship Maneuvering Model
by: Wakita, Kouki, et al.
Published: (2021) -
Data Augmentation Methods of Dynamic Model Identification for Harbor Maneuvers using Feedforward Neural Network
by: Wakita, Kouki, et al.
Published: (2023) -
Simultaneous optimization of control gains and reference filter coefficients for trajectory tracking control
by: Sakanashi, Amane, et al.
Published: (2024) -
Probabilistic Prediction of Ship Maneuvering Motion using Ensemble Learning with Feedforward Neural Networks
by: Wakita, Kouki, et al.
Published: (2024) -
A Practical and Online Trajectory Planner for Autonomous Ships' Berthing, Incorporating Speed Control
by: Mwange, Agnes Ngina, et al.
Published: (2024)