Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning

NeurIPSSpotlight2025

Authors
Gunshi Gupta, Karmesh Yadav, Zsolt Kira, Yarin Gal, Rahaf Aljundi
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

To enable embodied agents to operate effectively over extended timeframes, it is crucial to develop models that form and access memories to stay contextualized in their environment…

Opening excerpt from the authors’ abstract. source

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Topics

reinforcement learning efficient memory agent

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