This repository contains ready-made datasets and pre-trained oracle agent checkpoints for the MIKASA-Robo benchmark suite, a comprehensive collection of memory-intensive robotic manipulation tasks (see our Website, Paper, and Github for details).
6
59 commits
2 linked in READMEs
updated May 11, 2025
This repository contains ready-made datasets and pre-trained oracle agent checkpoints for the MIKASA-Robo benchmark suite, a comprehensive collection of memory-intensive robotic manipulation tasks (see our Website, Paper, and Github for details).
Instructions for collecting datasets using oracle agent checkpoints and a description of the datasets are available at https://github.com/CognitiveAISystems/MIKASA-Robo.
If you find our datasets useful, please cite our paper :)
@misc{cherepanov2025mikasa,
title={Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning},
author={Egor Cherepanov and Nikita Kachaev and Alexey K. Kovalev and Aleksandr I. Panov},
year={2025},
eprint={2502.10550},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2502.10550},
}
59 commits
This repository contains ready-made datasets and pre-trained oracle agent checkpoints for the MIKASA-Robo benchmark suite, a comprehensive collection of memory-intensive robotic manipulation tasks (see our Website, Paper, and Github for details).
6
59 commits
2 linked in READMEs
updated May 11, 2025
This repository contains ready-made datasets and pre-trained oracle agent checkpoints for the MIKASA-Robo benchmark suite, a comprehensive collection of memory-intensive robotic manipulation tasks (see our Website, Paper, and Github for details).
Instructions for collecting datasets using oracle agent checkpoints and a description of the datasets are available at https://github.com/CognitiveAISystems/MIKASA-Robo.
If you find our datasets useful, please cite our paper :)
@misc{cherepanov2025mikasa,
title={Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning},
author={Egor Cherepanov and Nikita Kachaev and Alexey K. Kovalev and Aleksandr I. Panov},
year={2025},
eprint={2502.10550},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2502.10550},
}
59 commits