Reinforcement Learning applied to Control of an Autonomous Underwater Vehicle
Conference Paper, Proceedings of Australian Conference on Robotics and Automation (ACRA '99), March, 1999
Abstract
At the Australian National University we are developing an autonomous underwater vehicle for exploration and inspection. Our aim is to develop on-board intelligent control. We intend that the vehicle will learn to control its thrusters in response to command and sensor inputs. Algorithms based on reinforcement learning with continuous state and actions are being developed for this purpose.
BibTeX
@conference{Gaskett-1999-120426,author = {C. Gaskett and D. Wettergreen and A. Zelinsky},
title = {Reinforcement Learning applied to Control of an Autonomous Underwater Vehicle},
booktitle = {Proceedings of Australian Conference on Robotics and Automation (ACRA '99)},
year = {1999},
month = {March},
}
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