Delayed recommendation feedback can guide useful evolution of agent memory

TIDE assigns noisy outcomes to referenced memories, then updates a capacity-limited memory store for better performance on future tasks.

Chinese Tech
Shanwen Mao · Mingming Li · Hao Zhang · Zhiheng Li · Yige Wang · Penghua Yu · +1 more

Harbin Institute of Technology · Alibaba Group · Institute of Automation, Chinese Academy of Sciences

Research Digest··3 min read
Mao et al.

The authors treat external memory as a capacity-constrained population of reusable experiences.

Why this paper

From Institute of Automation, Chinese Academy of Sciences and 2 others

In one line

Delayed recommendation feedback evolves agent memory via three-stage credit assignment, achieving +7.75% MEG.

What we could check

  • ·No code link found
  • ·No weights link found
  • ·No dataset link found
  • ·No compute details found
  • ✓Limitations stated by the authors
  • ✓Reports numbers on named benchmarks

Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.

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