Victoria (Viktoriya) Krakovna
Victoria (Viktoriya) Krakovna
DeepMind
Verified email at google.com - Homepage
TitleCited byYear
Ai safety gridworlds
J Leike, M Martic, V Krakovna, PA Ortega, T Everitt, A Lefrancq, L Orseau, ...
arXiv preprint arXiv:1711.09883, 2017
732017
Reinforcement Learning with a Corrupted Reward Channel
T Everitt, V Krakovna, L Orseau, M Hutter, S Legg
IJCAI AI & Autonomy, 2017
322017
Increasing the Interpretability of Recurrent Neural Networks Using Hidden Markov Models
V Krakovna, F Doshi-Velez
ICML Workshop on Human Interpretability (WHI 2016), arXiv preprint arXiv …, 2016
322016
Penalizing side effects using stepwise relative reachability
V Krakovna, L Orseau, R Kumar, M Martic, S Legg
arXiv preprint arXiv:1806.01186, 2018
9*2018
A generalized-zero-preserving method for compact encoding of concept lattices
M Skala, V Krakovna, J Kramár, G Penn
Proceedings of the 48th annual meeting of the Association for Computational …, 2010
52010
Interpretable selection and visualization of features and interactions using Bayesian forests
V Krakovna, J Du, JS Liu
arXiv preprint arXiv:1506.02371, 2015
4*2015
A Minimalistic Approach to Sum-Product Network Learning for Real Applications
V Krakovna, M Looks
ICLR 2016 workshop, arXiv preprint arXiv:1602.04259, 2016
32016
Modeling AGI Safety Frameworks with Causal Influence Diagrams
T Everitt, R Kumar, V Krakovna, S Legg
arXiv preprint arXiv:1906.08663, 2019
22019
Building Interpretable Models: From Bayesian Networks to Neural Networks
V Krakovna
12016
Memory-Bounded Left-Corner Unsupervised Grammar Induction on Child-Directed Input
C Shain, W Bryce, L Jin, V Krakovna, F Doshi-Velez, T Miller, W Schuler, ...
Proceedings of COLING 2016, the 26th International Conference on …, 2016
2016
The system can't perform the operation now. Try again later.
Articles 1–10