Kai Arulkumaran
Hoya (Japan)(JP)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Neural Networks and Applications, Generative Adversarial Networks and Image Synthesis, Artificial Intelligence in Games, Explainable Artificial Intelligence (XAI)
Most-Cited Works
- → Generative Adversarial Networks: An Overview(2018)4,302 cited
- → Deep Reinforcement Learning: A Brief Survey(2017)4,168 cited
- → A Brief Survey of Deep Reinforcement Learning(2017)750 cited
- → Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders(2016)498 cited
- → Towards Deep Symbolic Reinforcement Learning(2016)145 cited
- → On denoising autoencoders trained to minimise binary cross-entropy(2017)63 cited
- → The Societal Implications of Deep Reinforcement Learning(2021)35 cited
- → Adaptive Neural Trees(2018)24 cited
- → On the link between conscious function and general intelligence in humans and machines(2022)21 cited
- → Analysing deep reinforcement learning agents trained with domain randomisation(2022)21 cited