S2R-CMI: A Robust Deep Reinforcement Learning method based on counterfactual estimation and state importance evaluation under additive noise disturbance.

[BibT_eX]

[DOI]

Zhenyuan Chen

Zhi Zheng

Wenjun Huang

Xiaomin Lin

Neurocomputing, 2025

Is AI currently capable of identifying wild oysters? A comparison of human annotators against the AI model, ODYSSEE.

[BibT_eX]

[DOI]

Frontiers Robotics AI, 2025

SIMSE: a contrastive learning method combining sample importance metric and semantic enhancement.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2025

2024

Towards Efficient oceanic robot Learning with simulation.

[BibT_eX]

[DOI]

Xiaomin Lin

PhD thesis, 2024

AAM-SEALS: Developing Aerial-Aquatic Manipulators in SEa, Air, and Land Simulator.

[BibT_eX]

[DOI]

CoRR, 2024

3D Water Quality Mapping using Invariant Extended Kalman Filtering for Underwater Robot Localization.

[BibT_eX]

[DOI]

CoRR, 2024

ViewActive: Active viewpoint optimization from a single image.

[BibT_eX]

[DOI]

CoRR, 2024

Performance Assessment of Feature Detection Methods for 2-D FS Sonar Imagery.

[BibT_eX]

[DOI]

Hitesh Kyatham

Shahriar Negahdaripour

CoRR, 2024

ODYSSEE: Oyster Detection Yielded by Sensor Systems on Edge Electronics.

[BibT_eX]

[DOI]

CoRR, 2024

sTransformer: A Modular Approach for Extracting Inter-Sequential and Temporal Information for Time-Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

MARVIS: Motion & Geometry Aware Real and Virtual Image Segmentation.

[BibT_eX]

[DOI]

Jiayi Wu

Xiaomin Lin

Shahriar Negahdaripour

Cornelia Fermüller

Yiannis Aloimonos

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

UIVNAV: Underwater Information-driven Vision-based Navigation via Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Genetic algorithm for delay efficient computation offloading in dispersed computing.

[BibT_eX]

[DOI]

Ad Hoc Networks, April, 2023

Whale Detection Enhancement through Synthetic Satellite Images.

[BibT_eX]

[DOI]

CoRR, 2023

ChatSim: Underwater Simulation with Natural Language Prompting.

[BibT_eX]

[DOI]

CoRR, 2023

SeaDroneSim: Simulation of Aerial Images for Detection of Objects Above Water.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Detecting Olives with Synthetic or Real Data? Olive the Above.

[BibT_eX]

[DOI]

Yianni Karabatis

Xiaomin Lin

Nitin J. Sanket

Michail G. Lagoudakis

Yiannis Aloimonos

IROS, 2023

OysterNet: Enhanced Oyster Detection Using Simulation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Refined allocation of power marketing service resources based on clustering analysis algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management, 2023

2022

Task Scheduling With UAV-Assisted Dispersed Computing for Disaster Scenario.

[BibT_eX]

[DOI]

IEEE Syst. J., 2022

SeaDroneSim: Simulation of Aerial Images for Detection of Objects Above Water.

[BibT_eX]

[DOI]

CoRR, 2022

OysterSim: Underwater Simulation for Enhancing Oyster Reef Monitoring.

[BibT_eX]

[DOI]

CoRR, 2022

2020

Following Instructions by Imagining and Reaching Visual Goals.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Multi-agent Inverse Reinforcement Learning for Certain General-sum Stochastic Games.

[BibT_eX]

[DOI]

Xiaomin Lin

Stephen C. Adams

Peter A. Beling

J. Artif. Intell. Res., 2019

2018

Multiagent Inverse Reinforcement Learning for Two-Person Zero-Sum Games.

[BibT_eX]

[DOI]

Xiaomin Lin

Peter A. Beling

Randy Cogill

IEEE Trans. Games, 2018

Multi-agent Inverse Reinforcement Learning for General-sum Stochastic Games.

[BibT_eX]

[DOI]

Xiaomin Lin

Stephen C. Adams

Peter A. Beling

CoRR, 2018

2014

Comparison of Multi-agent and Single-agent Inverse Learning on a Simulated Soccer Example.

[BibT_eX]

[DOI]

Xiaomin Lin

Peter A. Beling

Randy Cogill

CoRR, 2014

Multi-agent Inverse Reinforcement Learning for Zero-sum Games.

[BibT_eX]

[DOI]

Xiaomin Lin

Peter A. Beling

Randy Cogill

CoRR, 2014

Xiaomin Lin

Bibliography

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