activity
20132026
collaborators

5 papers

cs.AI2026

Solving Robust POMDPs with Omega-regular Objectives via Partially Observable Stochastic Games

Durgam Latha, Dion Reji, S. Akshay +2

Robust POMDPs (RPOMDPs) generalize classical POMDPs to the setting where exact transition probabilities are not known -- rather, they are only known to belong to some uncertainty s…

cs.CY2026

The 2026 Singapore Consensus on Global AI Safety Research Priorities

Stephen Casper, Oskar Galeev, Yoshua Bengio +117

Frontier AI capabilities and autonomy are advancing rapidly. A growing number of real-world incidents make a trusted AI ecosystem essential to embracing AI with confidence. The 202…

cs.AI2025

The Singapore Consensus on Global AI Safety Research Priorities

Yoshua Bengio, Tegan Maharaj, Luke Ong +84

Rapidly improving AI capabilities and autonomy hold significant promise of transformation, but are also driving vigorous debate on how to ensure that AI is safe, i.e., trustworthy,…

cs.GT2022

Bidding Graph Games with Partially-Observable Budgets

Guy Avni, Ismael Jecker, Djordje Zikelic

Two-player zero-sum "graph games" are a central model, which proceeds as follows. A token is placed on a vertex of a graph, and the two players move it to produce an infinite "play…

math.AG2013

Cinderella, quadrilaterals and conics

Djordje Baralic, Branko Grbic, Djordje Zikelic

We study quadrilaterals inscribed and circumscribed about conics. Our research is guided by experiments in software Cinderella. We extend the known results in projective geometry o…