Janos Kramar
Janos Kramar
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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
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
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
Guidelines for artificial intelligence containment
J Babcock, J Kramar, RV Yampolskiy
Next-Generation Ethics: Engineering a Better Society (Ed.) Ali. E. Abbas, 90-112, 2019
The AGI containment problem
J Babcock, J Kramár, R Yampolskiy
Artificial General Intelligence: 9th International Conference, AGI 2016, New …, 2016
Learning reciprocity in complex sequential social dilemmas
T Eccles, E Hughes, J Kramár, S Wheelwright, JZ Leibo
arXiv preprint arXiv:1903.08082, 2019
Learning to play no-press diplomacy with best response policy iteration
T Anthony, T Eccles, A Tacchetti, J Kramár, I Gemp, T Hudson, N Porcel, ...
Advances in Neural Information Processing Systems 33, 17987-18003, 2020
Negotiation and honesty in artificial intelligence methods for the board game of Diplomacy
J Kramár, T Eccles, I Gemp, A Tacchetti, KR McKee, M Malinowski, ...
Nature Communications 13 (1), 7214, 2022
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 arXiv:1908.09453, 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
Tracr: Compiled transformers as a laboratory for interpretability
D Lindner, J Kramár, M Rahtz, T McGrath, V Mikulik
arXiv preprint arXiv:2301.05062, 2023
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
The Imitation Game: Learned Reciprocity in Markov games.
T Eccles, E Hughes, J Kramár, S Wheelwright, JZ Leibo
AAMAS 19, 3, 2019
Does circuit analysis interpretability scale? evidence from multiple choice capabilities in chinchilla
T Lieberum, M Rahtz, J Kramár, G Irving, R Shah, V Mikulik
arXiv preprint arXiv:2307.09458, 2023
Power-seeking can be probable and predictive for trained agents
V Krakovna, J Kramar
arXiv preprint arXiv:2304.06528, 2023
Explaining grokking through circuit efficiency
V Varma, R Shah, Z Kenton, J Kramár, R Kumar
arXiv preprint arXiv:2309.02390, 2023
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
The hydra effect: Emergent self-repair in language model computations
T McGrath, M Rahtz, J Kramar, V Mikulik, S Legg
arXiv preprint arXiv:2307.15771, 2023
How intelligible is intelligence?
A Salamon, S Rayhawk, J Kramár
Proceedings of the VIII European conference on computing and philosophy …, 2010
A Neural Network Auction For Group Decision Making Over a Continuous Space.
Y Bachrach, IM Gemp, M Garnelo, J Kramar, T Eccles, D Rosenbaum, ...
IJCAI, 4976-4979, 2021
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