Good Papers

Showing papers from Google Research & Courant Institute of Mathematical Sciences Show all papers

45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Google ResearchGoogle Research & Courant InResearch Scientist, Google ReseaDeep RL

SAMPPO: Structure-Aware Mirror Proximal Policy Optimization

Corinna Cortes, Mehryar Mohri, Yutao Zhong

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
78%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026Google Research & Courant InGoogleMicrosoft Research, New EnglandAlignment & preference optimization

Coherence Mechanisms for Provable Self-Improvement

Coherence-based projection mechanisms provably improve models monotonically via reduced Bregman divergence, with characterization theorems showing coherence is necessary for universal self-improvement.

Mehryar Mohri, Jon Schneider, Yifan Wu

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
11/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 11 of 20 reviewers recommend it
lenient 3/5
medium 6/10
strict 2/5