Yimian Ding
According to our database1,
Yimian Ding
authored at least 12 papers
between 2024 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Make Your AUV Adaptive: An Environment-Aware Reinforcement Learning Framework For Underwater Tasks.
CoRR, June, 2025
Never too Cocky to Cooperate: An FIM and RL-based USV-AUV Collaborative System for Underwater Tasks in Extreme Sea Conditions.
CoRR, April, 2025
Never too Prim to Swim: An LLM-Enhanced RL-based Adaptive S-Surface Controller for AUVs under Extreme Sea Conditions.
CoRR, March, 2025
EFILN: The Electric Field Inversion-Localization Network for High-Precision Underwater Positioning.
Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025
Multi-Objective-Optimization Multi-Auv Assisted Data Collection Framework for Iout Based on Offline Reinforcement Learning.
Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
UACOF: A USV-AUV Collaboration Framework for Underwater Tasks Under Extreme Sea Conditions (Student Abstract).
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
ERFSL: An Efficient Reward Function Searcher via Large Language Models for Custom-Environment Multi-Objective Reinforcement Learning (Student Abstract).
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
AoI-MDP: An AoI Optimized Markov Decision Process Dedicated in the Underwater Task (Student Abstract).
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Large Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement Learning.
CoRR, 2024
Enhancing Information Freshness: An AoI Optimized Markov Decision Process Dedicated In the Underwater Task.
CoRR, 2024
Multi-AUV Assisted Seamless Underwater Target Tracking Relying on Deep Learning and Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024