One of the most overlooked challenges in artificial intelligence (AI) for computer games is to
create non-player game characters (NPCs) with human-like behavior. Modern NPCs …

Abstract Behavior Trees (BTs) were invented as a tool to enable modular AI in computer
games, but have received an increasing amount of attention in the robotics community in the …

Behavior Trees (BTs) provide a way to structure the behavior of an artificial agent such as a
robot or a non-player character in a computer game. Traditional design methods, such as …

This paper presents a unified framework for Behavior Trees (BTs), a plan representation and
execution tool. The available literature lacks the consistency and mathematical rigor …

This paper attempts to give a high-level overview of the field of artificial and computational
intelligence (AI/CI) in games, with particular reference to how the different core research …

In this paper, we show how a planning algorithm can be used to automatically create and
update a Behavior Tree (BT), controlling a robot in a dynamic environment. The planning …

This paper describes the Mario AI benchmark, a game-based benchmark for reinforcement
learning algorithms and game AI techniques developed by the authors. The benchmark is …

In this paper, we study the problem of automatically synthesizing a successful behavior tree
(BT) in an a priori unknown dynamic environment. Starting with a given set of actions, a …

The field of natural computing has been the focus of a substantial research effort in recent
decades. One particular strand of this concerns the development of computational …

In the last decade, reinforcement learning (RL) has been used to solve several tasks with
human-level performance. However, there is a growing demand for interpretable RL, ie …