ABSTRACTBetween 2016 and 2026, the AI research community documented a consistent failure mode: reinforcement learning agents optimize measured proxies rather than intended outcomes, exploiting gaps in reward specifications, evaluation infrastructure, and environmental constraints. What began as curiosities in simulated...
Jovan Ivković· Zenodo (CERN European Organi...· 0 citations
ABSTRACTBetween 2016 and 2026, the AI research community documented a consistent failure mode: reinforcement learning agents optimize measured proxies rather than intended outcomes, exploiting gaps in reward specifications, evaluation infrastructure, and environmental constraints. What began as curiosities in simulated...
Jovan Ivković· Zenodo (CERN European Organi...· 0 citations
This chapter surveys quantum computing and its integration with cloud infrastructures for decision support. It introduces the algorithmic core (Shor, Grover, variational circuits, and quantum linear-algebra routines), then situates current devices in the Noisy Intermediate-Scale Quantum (NISQ) regime – sources of noise...
Jovan Ivković, Jelena Lužija Ivković· AI and Human Expertise for S...· 0 citations
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