Sim-to-reality adaptation for Deep Reinforcement Learning applied to an underwater docking application | ScienceToStartup | ScienceToStartup

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References (17)

[1]

Fast Policy Learning for 6-DOF Position Control of Underwater Vehicles

2025Sümer Tunçay, Alain Andres et al.

[2]

A Sim-to-Real Transfer Framework for Enhancing Marine Vehicle Performance in Ocean Environments

2025Ze Zheng, Zihao Wang et al.

[3]

Three-Dimensional Binary Marker: A Novel Underwater Marker Applicable for Long-Term Deployment Scenarios

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"A systematic approach for sim-to-reality adaptation in Deep Reinforcement Learning for autonomous underwater docking."

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Sim-to-reality adaptation for Deep Reinforcement Learning applied to an underwater docking application

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"A systematic approach for sim-to-reality adaptation in Deep Reinforcement Learning for autonomous underwater docking."

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Sim-to-reality adaptation for Deep Reinforcement Learning applied to an underwater docking application

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References (17)

Founder's Pitch

"A systematic approach for sim-to-reality adaptation in Deep Reinforcement Learning for autonomous underwater docking."

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