activity
20112021
most citedSafe Multi-Agent Reinforcement Learning via Shielding

30 citations · 54 across the 8 of their papers we have counts for

collaborators

12 papers

cs.FL2021

Adapting to the Behavior of Environments with Bounded Memory

Dhananjay Raju, Rüdiger Ehlers, Ufuk Topcu

We study the problem of synthesizing implementations from temporal logic specifications that need to work correctly in all environments that can be represented as transducers with…

cs.LG202130 cited

Safe Multi-Agent Reinforcement Learning via Shielding

Ingy Elsayed-Aly, Suda Bharadwaj, Christopher Amato +3

Multi-agent reinforcement learning (MARL) has been increasingly used in a wide range of safety-critical applications, which require guaranteed safety (e.g., no unsafe states are ev…

cs.FL2020

Playing Against Opponents With Limited Memory

Dhananjay Raju, Rüdiger Ehlers, Ufuk Topcu

We study \emph{partial-information} two-player turn-based games on graphs with omega-regular objectives, when the partial-information player has \emph{limited memory}. Such games a…

cs.LO2018

Exact Synthesis of ESOP Forms

Heinz Riener, Rüdiger Ehlers, Bruno Schmitt +1

We present an exact synthesis approach for computing Exclusive-or Sum-of-Products (ESOP) forms with a minimum number of product terms using Boolean satisfiability. Our approach fin…

cs.LO2018

Revisiting Decision Diagrams for SAT

Tom van Dijk, Rüdiger Ehlers, Armin Biere

Symbolic variants of clause distribution using decision diagrams to eliminate variables in SAT were shown to perform well on hard combinatorial instances. In this paper we revisit…

cs.LO2017

Symmetric Synthesis

Ruediger Ehlers, Bernd Finkbeiner

We study the problem of determining whether a given temporal specification can be implemented by a symmetric system, i.e., a system composed from identical components. Symmetry is…