Ataraxos, an AI for the board wargame Stratego, establishes a design pattern for reinforcement learning and search that is effective under large amounts of hidden information, a longstanding desiderat...

We develop a framework for mechanism design with AI agents whose alignment (preferences) and capabilities (feasible actions and information) are unknown. We want such agents to act on our behalf so me...

Bicanski proposes an algorithm and neural mechanisms for the iterative construction of abstract cognitive maps via non-local inference. Map positions are triangulated and memorized by a set of extant ...

It is important to remember that the GMO panic, fuelled by anxious academics and attention seeking public figures, had massive fallout in terms of scientific literacy across the world.

By Nihar B. Shah

Multi-agent reinforcement learning (MARL) has exploded in popularity in recent years. While numerous approaches have been developed, they can be broadly categorized into three main types: centralized ...

When providing forecasted probabilities with a predictive model, the ideal model offers perfect calibration: the true probability of the outcome (i.e., the probability that $Y=1$) exactly matches the ...