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

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” ...

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 ...

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 ...

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 ...