MemoWM proposes memory allocation based on world models to compress retained information and reconstruct omitted content for long-term agents.
Read the original at arxiv.org→arXiv:2610.10778v1 Announce Type: new Abstract: Long-term agents face growing storage demands as they accumulate experience. World models capture reusable regularities that can reduce the information stored for each...
Original headline: "MemoWM: How World Models Change What Agents Need to Remember"
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- Oct 9, 04:00 UTC arXiv cs.LG lead source MemoWM: How World Models Change What Agents Need to Remember