Kai Arulkumaran

Identifiers

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Papers (10)

1. AlphaStar: An Evolutionary Computation Perspective cs.NE · 2019 · author #1
2. Adaptive Neural Trees cs.NE · 2018 · author #2
3. Variational Inference for Data-Efficient Model Learning in POMDPs stat.ML · 2018 · author #2
4. Generative Adversarial Networks: An Overview cs.CV · 2017 · author #4
5. On denoising autoencoders trained to minimise binary cross-entropy cs.CV · 2017 · author #2
6. A Brief Survey of Deep Reinforcement Learning cs.LG · 2017 · author #1
7. Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders cs.LG · 2016 · author #6
8. Improving Sampling from Generative Autoencoders with Markov Chains cs.LG · 2016 · author #2
9. Towards Deep Symbolic Reinforcement Learning cs.AI · 2016 · author #2
10. Classifying Options for Deep Reinforcement Learning cs.LG · 2016 · author #1

Mentions

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Frequent Coauthors

• Anil Anthony Bharath 3 shared papers
• Antonia Creswell 3 shared papers
• Murray Shanahan 3 shared papers
• Marta Garnelo 2 shared papers
• Nat Dilokthanakul 2 shared papers
• Aditya Nori 1 shared papers
• Anil A Bharath 1 shared papers
• Anil A. Bharath 1 shared papers
• Antoine Cully 1 shared papers
• Antonio Criminisi 1 shared papers
• Biswa Sengupta 1 shared papers
• Daniel C. Alexander 1 shared papers
• Hugh Salimbeni 1 shared papers
• Jan St\"uhmer 1 shared papers
• Julian Togelius 1 shared papers
• Katja Hofmann 1 shared papers
• Marc Peter Deisenroth 1 shared papers
• Matthew C.H. Lee 1 shared papers
• Miles Brundage 1 shared papers
• Pedro A.M. Mediano 1 shared papers