DOE OSTI · 2405108
Reinforcement Learning for Energy-Movement Optimization in Arduino-Based Robotics
Abstract
Our goal is to develop a learning method for an Arduino-based robotthat maximizes travel distance and minimizes energy expenditure. • Will implement State ActionReward State Action (SARSA) reinforcement learning algorithm • Learning steps informed by state of environment • Rewards good decisions and punishes bad ones.
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Gilmore, Blake, Wells, William W., Taha, Mohammad M.A., Kofi, Kyei, Filho, Faete J., Xiao, X. Steve. 2024-07-11. Reinforcement Learning for Energy-Movement Optimization in Arduino-Based Robotics. https://www.osti.gov/biblio/2405108
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