Deep multiagent reinforcement learning: Challenges and directions

A Wong, T Bäck, AV Kononova, A Plaat - Artificial Intelligence Review, 2023 - Springer
This paper surveys the field of deep multiagent reinforcement learning (RL). The
combination of deep neural networks with RL has gained increased traction in recent years …

Redefining creativity in the era of AI? Perspectives of computer scientists and new media artists

R Wingström, J Hautala, R Lundman - Creativity Research Journal, 2024 - Taylor & Francis
Artificial intelligence (AI) has breached creativity research. The advancements of creative AI
systems dispute the common definitions of creativity that have traditionally focused on five …

Can artificial intelligence's limitations drive innovative work behaviour?

A Zirar - Review of Managerial Science, 2023 - Springer
Artificial intelligence (AI) is deemed to increase workers' productivity by enhancing their
creative abilities and acting as a general-purpose tool for innovation. While much is known …

Reasoning like human: Hierarchical reinforcement learning for knowledge graph reasoning

G Wan, S Pan, C Gong, C Zhou… - … Joint Conference on …, 2021 - opus.lib.uts.edu.au
Knowledge Graphs typically suffer from incompleteness. A popular approach to knowledge
graph completion is to infer missing knowledge by multi-hop reasoning over the information …

Educational robotics and robot creativity: An interdisciplinary dialogue

A Gubenko, C Kirsch, JN Smilek, T Lubart… - Frontiers in Robotics …, 2021 - frontiersin.org
There is a growing literature concerning robotics and creativity. Although some authors
claim that robotics in classrooms may be a promising new tool to address the creativity crisis …

Target search control of AUV in underwater environment with deep reinforcement learning

X Cao, C Sun, M Yan - IEEE Access, 2019 - ieeexplore.ieee.org
The autonomous underwater vehicle (AUV) is widely used to search for unknown targets in
the complex underwater environment. Due to the unpredictability of the underwater …

[PDF][PDF] Macgyver problems: Ai challenges for testing resourcefulness and creativity

V Sarathy, M Scheutz - Advances in Cognitive Systems, 2018 - hrilab.tufts.edu
When faced with real-world problems that seem unsolvable, humans display an exceptional
degree of flexibility and creativity, improvising solutions with the limited resources available …

A survey on large language model hallucination via a creativity perspective

X Jiang, Y Tian, F Hua, C Xu, Y Wang, J Guo - arXiv preprint arXiv …, 2024 - arxiv.org
Hallucinations in large language models (LLMs) are always seen as limitations. However,
could they also be a source of creativity? This survey explores this possibility, suggesting …

Deep reinforcement learning for controlling frontal person close-up shooting

N Passalis, A Tefas - Neurocomputing, 2019 - Elsevier
Drones, also known as Unmanned Aerial Vehicles, are capable of capturing spectacular
aerial shots and can be used to aid several cinematography-oriented tasks. However, flying …

Coding reality: implications of AI for documentary media

A Kapur, NS Ansari - Studies in Documentary Film, 2022 - Taylor & Francis
This article analyses the frameworks of co-creation between artists and AI in the context of
documentary studies. As a result of emerging AI-focused experiments in documentary and …