Good Papers

Showing papers from IMDEA Software Institute Show all papers

76%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026U Pennsylvania, University of PeIMDEA Software InstituteMulti-agent RL

Auction-Based Online Policy Adaptation for Evolving Objectives

An auction-based framework coordinates selfish local policies via urgency bids to adapt multi-objective reinforcement learning to evolving objectives, outperforming monolithic PPO policies.

Guru Shabadi, Kaushik Mallik

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
10/20 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: 10 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 1/5
72%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026U WaterlooIMDEA Software InstituteGraph neural networks

Complexity of Classical Acceleration for $\ell_1$-Regularized PageRank

Standard FISTA is asymptotically worse than ISTA for ℓ1-regularized PageRank, though over-regularized objectives with confinement yield accelerated bounds plus boundary overhead.

Kimon Fountoulakis, David Martínez-Rubio

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
8/20 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: 8 of 20 reviewers recommend it
lenient 1/5
medium 4/10
strict 3/5