| Zoneout: Regularizing rnns by randomly preserving hidden activations D Krueger, T Maharaj, J Kramár, M Pezeshki, N Ballas, NR Ke, A Goyal, ... arXiv preprint arXiv:1606.01305, 2016 | 164 | 2016 |
| Reinforcement and imitation learning for diverse visuomotor skills Y Zhu, Z Wang, J Merel, A Rusu, T Erez, S Cabi, S Tunyasuvunakool, ... arXiv preprint arXiv:1802.09564, 2018 | 73 | 2018 |
| The AGI containment problem J Babcock, J Kramár, R Yampolskiy International Conference on Artificial General Intelligence, 53-63, 2016 | 23 | 2016 |
| Guidelines for artificial intelligence containment J Babcock, J Kramár, RV Yampolskiy arXiv preprint arXiv:1707.08476, 2017 | 18 | 2017 |
| 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 | 5 | 2010 |
| Openspiel: A framework for reinforcement learning in games M Lanctot, E Lockhart, JB Lespiau, V Zambaldi, S Upadhyay, J Pérolat, ... arXiv preprint arXiv:1908.09453, 2019 | 4 | 2019 |
| How intelligible is intelligence A Salamon, S Rayhawk, J Kramár Proceedings of the VIII European conference on computing and philosophy …, 2010 | 3 | 2010 |
| Learning Reciprocity in Complex Sequential Social Dilemmas T Eccles, E Hughes, J Kramár, S Wheelwright, JZ Leibo arXiv preprint arXiv:1903.08082, 2019 | 1 | 2019 |
| The Imitation Game: Learned Reciprocity in Markov games T Eccles, E Hughes, J Kramár, S Wheelwright, JZ Leibo Proceedings of the 18th International Conference on Autonomous Agents and …, 2019 | | 2019 |
| Reinforcement and imitation learning for a task S Tunyasuvunakool, Y Zhu, J Merel, J Kramar, Z Wang, NMO Heess US Patent App. 16/174,112, 2019 | | 2019 |
| Deep Learning Monitor CT Page, B Xu, C Gil-Jardiné, F Thiessard, E Tellier, M Avalos, E Lagarde | | |
