Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection

Daniel Correa, Tero Kaarlela, Jose Fuentes +3

This paper presents a reinforcement learning (RL) environment for developing an autonomous underwater robotic coral sampling agent, a crucial coral reef conservation and research t…