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README.md
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license: cc-by-4.0
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---
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license: cc-by-4.0
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pretty_name: 'Diverse Extended Object Nav Episode Dataset for HSSD Scenes '
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---
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<div align="center">
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<h1>Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning</h1>
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<p>
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<a href="https://gunshigupta.netlify.app/">Gunshi Gupta</a>,
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<a href="https://www.karmeshyadav.com/">Karmesh Yadav</a>,
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<a href="https://faculty.cc.gatech.edu/~zk15/">Zsolt Kira</a>,
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<a href="https://www.cs.ox.ac.uk/people/yarin.gal/website/">Yarin Gal</a>,
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<a href="https://www.linkedin.com/in/rahaf-aljundi/">Rahaf Aljundi</a>
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</p>
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<p>
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<a href="https://arxiv.org/pdf/2510.19732">Paper Link</a> 
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<a href="https://github.com/gunshi/memo/">Code</a>
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</p>
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</div>
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This is the episode dataset associated with the paper titled, Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning. Please checkout our paper and codebase for more details. If you find this work useful, please cite:
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```bibtex
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@article{gupta2025memo,
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title={Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning},
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author={Gupta, Gunshi and Yadav, Karmesh and Kira, Zsolt and Gal, Yarin and Aljundi, Rahaf},
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journal={arXiv preprint arXiv:2510.19732},
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year={2025}
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}
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```
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