John Aslanides
John Aslanides
DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Randomized Prior Functions for Deep Reinforcement Learning
I Osband, J Aslanides, A Cassirer
Neural Information Processing Systems 32, 2018
1402018
Behaviour Suite for Reinforcement Learning
I Osband, Y Doron, M Hessel, J Aslanides, E Sezener, A Saraiva, ...
International Conference on Learning Representations 8, 2020
542020
Relativity concept inventory: Development, analysis, and results
JS Aslanides, CM Savage
Physical Review Special Topics-Physics Education Research 9 (1), 010118, 2013
482013
When to use parametric models in reinforcement learning?
H van Hasselt, M Hessel, J Aslanides
Neural Information Processing Systems 33, 2019
372019
Acme: A Research Framework for Distributed Reinforcement Learning
M Hoffman, B Shahriari, J Aslanides, G Barth-Maron, F Behbahani, ...
arXiv preprint arXiv:2006.00979, 2020
242020
TF-Replicator: Distributed Machine Learning for Researchers
P Buchlovsky, D Budden, D Grewe, C Jones, J Aslanides, F Besse, ...
arXiv preprint arXiv:1902.00465, 2019
212019
Universal Reinforcement Learning Algorithms: Survey and Experiments
J Aslanides, J Leike, M Hutter
International Joint Conference on Artificial Intelligence 26, 1403-1410, 2017
172017
A general approach to fairness with optimal transport
S Chiappa, R Jiang, T Stepleton, A Pacchiano, H Jiang, J Aslanides
AAAI, 2020
5*2020
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning
G Parascandolo, L Buesing, J Merel, L Hasenclever, J Aslanides, ...
arXiv preprint arXiv:2004.11410, 2020
42020
AIXIjs: A software demo for general reinforcement learning
J Aslanides
arXiv preprint arXiv:1705.07615, 2017
32017
Generalised discount functions applied to a Monte-Carlo AImu implementation
S Lamont, J Aslanides, J Leike, M Hutter
Autonomous Agents and Multiagent Systems, 2017, 2017
32017
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Articles 1–11