Researchers across cognitive, neuro-and computer sciences increasingly reference 'human-
like'artificial intelligence and 'neuroAI'. However, the scope and use of the terms are often …

The standard formulation of Reinforcement Learning lacks a practical way of specifying what
are admissible and forbidden behaviors. Most often, practitioners go about the task of …

The MineRL BASALT competition has served to catalyze advances in learning from human
feedback through four hard-to-specify tasks in Minecraft, such as create and photograph a …

Spontaneous, volitional spatial exploration is crucial for building up a cognitive map of the
environment. However, decades of research have primarily measured the fidelity of …

This article proposes a novel deep reinforcement learning algorithm to perform automated
analysis and detection of gameplay issues in complex 3-D navigation environments. The …

We aim to understand how people assess human likeness in navigation produced by
people and artificially intelligent (AI) agents in a video game. To this end, we propose a …

定位(positioning), 导航(navigation), 授时(timing), 简称PNT, 是人类在长期感知,
认知宇宙与人类生存的关系后, 产生的与经济, 社会活动密切相关的时空位置概念. PNT …

The goal of this paper is to understand how people assess human-likeness in human-and AI-
generated behavior. To this end, we present a qualitative study of hundreds of crowd …

Memory is inherently entangled with prediction and planning. Flexible behavior in biological
and artificial agents depends on the interplay of learning from the past and predicting the …

Going from research to production, especially for large and complex software systems, is
fundamentally a hard problem. In large-scale game production, one of the main reasons is …