| 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 | 261 | 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 | 180 | 2018 |
| 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 | 59 | 2019 |
| The AGI containment problem J Babcock, J Kramár, R Yampolskiy International Conference on Artificial General Intelligence, 53-63, 2016 | 37 | 2016 |
| Guidelines for artificial intelligence containment J Babcock, J Kramár, RV Yampolskiy Next-Generation Ethics: Engineering a Better Society, 90-112, 2019 | 36 | 2019 |
| Learning reciprocity in complex sequential social dilemmas T Eccles, E Hughes, J Kramár, S Wheelwright, JZ Leibo arXiv preprint arXiv:1903.08082, 2019 | 13 | 2019 |
| Learning to play no-press diplomacy with best response policy iteration T Anthony, T Eccles, A Tacchetti, J Kramár, I Gemp, TC Hudson, N Porcel, ... arXiv preprint arXiv:2006.04635, 2020 | 9 | 2020 |
| OpenSpiel: A Framework for Reinforcement Learning in Games. CoRR abs/1908.09453 (2019) M Lanctot, E Lockhart, JB Lespiau, V Zambaldi, S Upadhyay, J Pérolat, ... arXiv preprint cs.LG/1908.09453, 2019 | 8 | 2019 |
| The Imitation Game: Learned Reciprocity in Markov games. T Eccles, E Hughes, J Kramár, S Wheelwright, JZ Leibo AAMAS, 1934-1936, 2019 | 7 | 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 | 6 | 2019 |
| 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 | 6 | 2010 |
| How intelligible is intelligence A Salamon, S Rayhawk, J Kramár Proceedings of the VIII European conference on computing and philosophy …, 2010 | 3 | 2010 |
| Should I tear down this wall? Optimizing social metrics by evaluating novel actions J Kramár, N Rabinowitz, T Eccles, A Tacchetti arXiv preprint arXiv:2004.07625, 2020 | 1 | 2020 |
| Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent I Gemp, R Savani, M Lanctot, Y Bachrach, T Anthony, R Everett, ... arXiv preprint arXiv:2106.01285, 2021 | | 2021 |
| Neural Design of Contests and All-Pay Auctions using Multi-Agent Simulation T Anthony, I Gemp, J Kramar, T Eccles, A Tacchetti, Y Bachrach | | 2019 |
