Learning control of underactuated double pendulum with Model-Based Reinforcement Learning
<|reference_start|>Learning control of underactuated double pendulum with Model-Based Reinforcement Learning: 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.<|reference_end|>
@article{turcato2024learning,
    title={Learning control of underactuated double pendulum with Model-Based
  Reinforcement Learning},
    author={Niccol`o Turcato, Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero
  Carli and Diego Romeres},
    journal={arXiv preprint arXiv:2409.05811},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.05811},
    primaryClass={cs.RO}
}