activity
20092026
most citedOn the Utility of Learning about Humans for Human-AI Coordination

91 citations · 210 across the 30 of their papers we have counts for

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Showing cs.LOShow all

8 papers · 1 filter

cs.LO2025

ScenicProver: A Framework for Compositional Probabilistic Verification of Learning-Enabled Systems

Eric Vin, Kyle A. Miller, Inigo Incer +2

Full verification of learning-enabled cyber-physical systems (CPS) has long been intractable due to challenges including black-box components and complex real-world environments. E…

cs.LO2021

Satisfiability and Synthesis Modulo Oracles

Elizabeth Polgreen, Andrew Reynolds, Sanjit A. Seshia

In classic program synthesis algorithms, such as counterexample-guided inductive synthesis (CEGIS), the algorithms alternate between a synthesis phase and an oracle (verification)…

cs.LO2021

Model Checking Finite-Horizon Markov Chains with Probabilistic Inference

Steven Holtzen, Sebastian Junges, Marcell Vazquez-Chanlatte +3

We revisit the symbolic verification of Markov chains with respect to finite horizon reachability properties. The prevalent approach iteratively computes step-bounded state reachab…

cs.LO20211 cited

Runtime Monitoring for Markov Decision Processes

Sebastian Junges, Hazem Torfah, Sanjit A. Seshia

We investigate the problem of monitoring partially observable systems with nondeterministic and probabilistic dynamics. In such systems, every state may be associated with a risk,…

cs.LO2020

SynRG: Syntax Guided Synthesis of Expressions with Alternating Quantifiers

Elizabeth Polgreen, Sanjit A. Seshia

Program synthesis is the task of automatically generating expressions that satisfy a given specification. Program synthesis techniques have been used to automate the generation of…

cs.LO2019

Understanding and Extending Incremental Determinization for 2QBF

Markus N. Rabe, Leander Tentrup, Cameron Rasmussen +1

Incremental determinization is a recently proposed algorithm for solving quantified Boolean formulas with one quantifier alternation. In this paper, we formalize incremental determ…