Multi-Objective Reinforcement Learning (MORL) is an emerging field that extends the conventional reinforcement learning paradigm by enabling agents to optimise multiple conflicting objectives ...

The topics of all research papers must reflect the times and address the current economic and social needs, Belarusian ...

In a new paper published Thursday titled “Auditing language models for hidden objectives,” Anthropic researchers described how custom AI models trained to deliberately conceal certain “motivations” ...

This is a preview. Log in through your library . Abstract China's international container transportation has developed rapidly over the last 20 years. In recent years, China has emerged as one of the ...

As a market researcher, I am a student of human behavior. Over the past few years, my coursework has accelerated; keeping up with an ever-changing consumer means going far beyond traditional research ...

We propose a new approach to estimating central bank preferences, including the implicit inflation target, that requires no priors on the underlying macroeconomic structure nor observation of monetary ...