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Author

Sayak Chakrabarti

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#artificial intelligence Preprint Oct 2026

RELACE: retrospective likelihood-based action credit estimation for long-horizon language agents

Group Relative Policy Optimization (GRPO) avoids a separate critic by estimating advantages from rollout groups. For multi-turn agents, however, trajectory-level supervision provides coarse, noisy credit: terminal rewards do not locate errors and can penalize useful actions alongside mistakes. Group-in-Group Policy Opt...

Sayak Chakrabarti, Sathish Indurthi · 0 citations

Poly-attention: a general scheme for higher-order self-attention

This work defines a vast class of generalizations of self-attention mechanisms, which they are called poly-attention mechanisms, and gives a new attention mechanism which can be computed exactly in quadratic time, and which can perform function composition for any fixed number of functions.

Sayak Chakrabarti, T. Pitassi, Josh Alman · 3 citations

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