Arulkumaran, Kai

Deep Reinforcement Learning: A Brief Survey

Arulkumaran, K., Deisenroth, M. P., Brundage, M., & Bharath, A. A. (2017) · IEEE Signal Processing Magazine

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 4,733

A Brief Survey of Deep Reinforcement Learning

Arulkumaran, K., Deisenroth, M. P., Brundage, M., & Bharath, A. A. (2017) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 4,733

Generative Adversarial Networks: An Overview

Creswell, A., White, T., Dumoulin, V., Arulkumaran, K., Sengupta, B., & Bharath, A. A. (2018) · IEEE Signal Processing Magazine

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 4,540

Towards Deep Symbolic Reinforcement Learning

Garnelo, M., Arulkumaran, K., & Shanahan, M. (2016) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 146

On the link between conscious function and general intelligence in humans and machines

Juliani, A., Arulkumaran, K., Sasai, S., & Kanai, R. (2022) · arXiv

Philosophy and Theoretical SciencePsychiatry, Mental Health, Neuroscience

Cited by 21

Design and evaluation of a global workspace agent embodied in a realistic multimodal environment

Dossa, R. F. J., Arulkumaran, K., Juliani, A., Sasai, S., & Kanai, R. (2024) · Frontiers in Computational Neuroscience

Psychiatry, Mental Health, NeurosciencePhilosophy and Theoretical Science

Cited by 5