arXiv:2409.05811
Learning control of underactuated double pendulum with Model-Based Reinforcement Learning
Learning control of underactuated double pendulum with Model-Based Reinforcement Learning
著者: Niccolò Turcato, Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli, Diego Romeres
分類: cs.RO
原文アブストラクト
This report describes our proposed solution for the second AI Olympics competition held at IROS 2024. Our solution is based on a recent Model-Based Reinforcement Learning algorithm named MC-PILCO. Besides briefly reviewing the algorithm, we discuss the most critical aspects of the MC-PILCO implementation in the tasks at hand.