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- ---
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- license: cc-by-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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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>&ensp;
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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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+
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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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+ ```