Reinforcement learning (RL) has recently emerged as a core methodology for modelling and analysing complex adaptive systems. Ensuring that learning agents behave safely, robustly, and transparently is ...

With political events such as South Korea’s nationwide local elections in June and the U.S. midterm elections in November ...

User simulators serve two critical roles when integrated with interactive AI systems: they enable evaluation via repeatable, ...