Cover Image

Evaluating Robustness of Deep Reinforcement Learning for Autonomous Surface Vehicle Control in Field Tests

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Batista, Luis F. W., Aravecchia, Stéphanie, Hutchinson, Seth, Pradalier, Cédric
Format:	Preprint
Published:	2025
Subjects:	Robotics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sim-to-Real Transfer and Robustness Evaluation of Reinforcement Learning Control with Integrated Perception on an ASV for Floating Waste Capture
by: Batista, Luis F. W., et al.
Published: (2026)

A Deep Reinforcement Learning Framework and Methodology for Reducing the Sim-to-Real Gap in ASV Navigation
by: Batista, Luis F W, et al.
Published: (2024)

Optimizing Plastic Waste Collection in Water Bodies Using Heterogeneous Autonomous Surface Vehicles with Deep Reinforcement Learning
by: Barrionuevo, Alejandro Mendoza, et al.
Published: (2024)

Autonomous Navigation of Unmanned Vehicle Through Deep Reinforcement Learning
by: Xu, Letian, et al.
Published: (2024)

EmoBipedNav: Emotion-aware Social Navigation for Bipedal Robots with Deep Reinforcement Learning
by: Zhu, Wei, et al.
Published: (2025)

Deep Reinforcement Learning for Local Path Following of an Autonomous Formula SAE Vehicle
by: Merton, Harvey, et al.
Published: (2024)

Autonomous Vehicle Lateral Control Using Deep Reinforcement Learning with MPC-PID Demonstration
by: Wu, Chengdong, et al.
Published: (2025)

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study
by: Wu, Jiahui, et al.
Published: (2025)

Evaluation of Polarimetric Fusion for Semantic Segmentation in Aquatic Environments
by: Batista, Luis F. W., et al.
Published: (2025)

Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning
by: Wang, Pengyu, et al.
Published: (2025)

Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making
by: Wan, Hanxi, et al.
Published: (2024)

Toward 6-DOF Autonomous Underwater Vehicle Energy-Aware Position Control based on Deep Reinforcement Learning: Preliminary Results
by: Boré, Gustavo, et al.
Published: (2025)

ASVSim (AirSim for Surface Vehicles): A High-Fidelity Simulation Framework for Autonomous Surface Vehicle Research
by: Lesy, Bavo, et al.
Published: (2025)

Cross-cultural Deployment of Autonomous Vehicles Using Data-light Inverse Reinforcement Learning
by: Lu, Hongliang, et al.
Published: (2025)

Digital Twin-based Control Co-Design of Full Vehicle Active Suspensions via Deep Reinforcement Learning
by: Tsai, Ying-Kuan, et al.
Published: (2025)

Security of Deep Reinforcement Learning for Autonomous Driving: A Survey
by: Demontis, Ambra, et al.
Published: (2022)

Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations
by: Ayabe, Shingo, et al.
Published: (2024)

Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles
by: Grigorescu, Sorin, et al.
Published: (2025)

RoboRAN: A Unified Robotics Framework for Reinforcement Learning-Based Autonomous Navigation
by: El-Hariry, Matteo, et al.
Published: (2025)

MAGNNET: Multi-Agent Graph Neural Network-based Efficient Task Allocation for Autonomous Vehicles with Deep Reinforcement Learning
by: Ratnabala, Lavanya, et al.
Published: (2025)

Khalasi: Energy-Efficient Navigation for Surface Vehicles in Vortical Flow Fields
by: Gadhvi, Rushiraj, et al.
Published: (2025)

Trajectory Entropy Reinforcement Learning for Predictable and Robust Control
by: You, Bang, et al.
Published: (2025)

Towards an Autonomous Surface Vehicle Prototype for Artificial Intelligence Applications of Water Quality Monitoring
by: Díaz, Luis Miguel, et al.
Published: (2024)

Robustness and Adaptability of Reinforcement Learning based Cooperative Autonomous Driving in Mixed-autonomy Traffic
by: Valiente, Rodolfo, et al.
Published: (2022)

A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control
by: Zarrouki, Baha, et al.
Published: (2024)

Deep Reinforcement Learning for Haptic Shared Control in Unknown Tasks
by: Fernandez, Franklin Cardeñoso, et al.
Published: (2021)

Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention
by: Lee, Sang-Hyun, et al.
Published: (2024)

MagBotSim: Physics-Based Simulation and Reinforcement Learning Environments for Magnetic Robotics
by: Bergmann, Lara, et al.
Published: (2025)

CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving
by: Uppuluri, Bhargava, et al.
Published: (2025)

Interactive Double Deep Q-network: Integrating Human Interventions and Evaluative Predictions in Reinforcement Learning of Autonomous Driving
by: Sygkounas, Alkis, et al.
Published: (2025)

Towards Efficient Occupancy Mapping via Gaussian Process Latent Field Shaping
by: Gentil, Cedric Le, et al.
Published: (2025)

Learning Inverse Kinodynamics for Autonomous Vehicle Drifting
by: Suvarna, M., et al.
Published: (2024)

A Survey on Deep Multi-Task Learning in Connected Autonomous Vehicles
by: Wang, Jiayuan, et al.
Published: (2025)

DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing
by: Zhou, Junjie, et al.
Published: (2024)

Real-World Fluid Directed Rigid Body Control via Deep Reinforcement Learning
by: Bhardwaj, Mohak, et al.
Published: (2024)

Robust Recovery Controller for a Quadrupedal Robot using Deep Reinforcement Learning
by: Lee, Joonho, et al.
Published: (2019)

Context-Aware Model-Based Reinforcement Learning for Autonomous Racing
by: Moustafa, Emran Yasser, et al.
Published: (2025)

Deep RL-based Autonomous Navigation of Micro Aerial Vehicles (MAVs) in a complex GPS-denied Indoor Environment
by: Singh, Amit Kumar, et al.
Published: (2025)

Generalization in Deep Reinforcement Learning for Robotic Navigation by Reward Shaping
by: Miranda, Victor R. F., et al.
Published: (2022)

Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping
by: Liu, Guangyi, et al.
Published: (2025)