Imitation learning: A survey of learning methods

A Hussein, MM Gaber, E Elyan, C Jayne - ACM Computing Surveys …, 2017 - dl.acm.org
Imitation learning techniques aim to mimic human behavior in a given task. An agent (a
learning machine) is trained to perform a task from demonstrations by learning a mapping …

From chess and atari to starcraft and beyond: How game ai is driving the world of ai

S Risi, M Preuss - KI-Künstliche Intelligenz, 2020 - Springer
This paper reviews the field of Game AI, which not only deals with creating agents that can
play a certain game, but also with areas as diverse as creating game content automatically …

[图书][B] Artificial intelligence and games

GN Yannakakis, J Togelius - 2018 - Springer
Georgios N. Yannakakis Julian Togelius Page 1 Artificial Intelligence and Games Georgios N.
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …

Deep learning for video game playing

N Justesen, P Bontrager, J Togelius… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we review recent deep learning advances in the context of how they have
been applied to play different types of video games such as first-person shooters, arcade …

A panorama of artificial and computational intelligence in games

GN Yannakakis, J Togelius - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
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 …

Evaluation in artificial intelligence: from task-oriented to ability-oriented measurement

J Hernández-Orallo - Artificial Intelligence Review, 2017 - Springer
The evaluation of artificial intelligence systems and components is crucial for the progress of
the discipline. In this paper we describe and critically assess the different ways AI systems …

[图书][B] Algorithmuskulturen--Über die rechnerische Konstruktion der Wirklichkeit

R Seyfert, J Roberge - 2017 - library.oapen.org
Die gegenwärtig beobachtbare Ausbreitung von Algorithmen stellt uns vor eine doppelte
Herausforderung. Sie stellt sowohl unsere Gesellschaft als auch die Sozialwissenschaften …

Predicting Human Decision-Making

A Rosenfeld, S Kraus - … Human Decision-Making: From Prediction to Action, 2018 - Springer
Designing intelligent agents that interact proficiently with people necessitates the prediction
of human decision-making. We present and discuss three prediction paradigms for …

[图书][B] Was sind Algorithmuskulturen?

J Roberge, R Seyfert - 2017 - degruyter.com
Die gegenwärtig beobachtbare Ausbreitung von Algorithmen stellt uns vor eine doppelte
Herausforderung. Sie stellt sowohl unsere Gesellschaft als auch die Sozialwissenschaften …

[HTML][HTML] A survey of demonstration learning

A Correia, LA Alexandre - Robotics and Autonomous Systems, 2024 - Elsevier
With the fast improvement of machine learning, reinforcement learning (RL) has been used
to automate human tasks in different areas. However, training such agents is difficult and …