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Titlebook: Numerical Software Verification; 12th International W Majid Zamani,Damien Zufferey Conference proceedings 2019 Springer Nature Switzerland

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Reinforcement Learning and Formal Requirementsts implicit in reward signals. Oftentimes non-experts have to come up with the requirements and their translation to rewards under significant time pressure, even though manual translation is time consuming and error prone. For safety-critical applications of reinforcement learning a rigorous design
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Stochastic Local Search for Solving Floating-Point Constraintsof related work on leveraging SLS to solve the SMT fixed-sized bit-vector theory, and confirm its effectiveness by comparing it with mature solvers. Finally, we discuss the limitations of OL1V3R and propose solutions to make it more powerful.
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Evaluating Branching Heuristics in Interval Constraint Propagation for Satisfiabilityo prune the space of potential solutions and, when the constraint propagation fails, divides the space into smaller regions and continues recursively. The original goal is to find paving boxes of all solutions to a problem. Already when the whole domain needs to be considered, branching methods do m
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Abolfazl Lavaei,Sadegh Soudjani,Majid Zamanit NRPs exhibit. One important family of NRPs are the skyllamycins (.–.) which are highly functionalised cyclic peptides comprised of a number of non-proteinogenic amino acids (Fig. .). Specifically, they contain an .-terminal aromatic cinnamoyl moiety (red). Related motifs have been shown to be pres
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