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Kramár, János
23  Ergebnisse:
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1

Negotiation and honesty in artificial intelligence methods ..:

Kramár, János ; Eccles, Tom ; Gemp, Ian...
Nature Communications.  13 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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2

Designing all-pay auctions using deep learning and multi-ag..:

Gemp, Ian ; Anthony, Thomas ; Kramar, Janos...
Scientific Reports.  12 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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3

Should I Tear down This Wall? Optimizing Social Metrics by ..:

, In: Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XIII; Lecture Notes in Computer Science,
Kramár, János ; Rabinowitz, Neil ; Eccles, Tom. - p. 114-130 , 2021
Link: https://doi.org/10.1007/..
 
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4

The Imitation Game : Learned Reciprocity in Markov games:

, In: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems,
Eccles, Tom ; Hughes, Edward ; Kramár, János.. - p. 1934-1936 , 2019
Link: https://dl.acm.org/doi/1..
 
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5

Guidelines for Artificial Intelligence Containment:

, In: Next-Generation Ethics,
Babcock, James ; Krámar, János ; Yampolskiy, Roman V. - p. 90-112 , 2019
Link: https://doi.org/10.1017/..
 
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6

Power-seeking can be probable and predictive for trained ag..:

Krakovna, Victoria ; Kramar, Janos
http://arxiv.org/abs/2304.06528.  , 2023
Link: http://arxiv.org/abs/230..
 
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7

Does Circuit Analysis Interpretability Scale? Evidence from..:

Lieberum, Tom ; Rahtz, Matthew ; Kramár, János...
http://arxiv.org/abs/2307.09458.  , 2023
Link: http://arxiv.org/abs/230..
 
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8

Explaining grokking through circuit efficiency:

Varma, Vikrant ; Shah, Rohin ; Kenton, Zachary..
http://arxiv.org/abs/2309.02390.  , 2023
Link: http://arxiv.org/abs/230..
 
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9

Tracr: Compiled Transformers as a Laboratory for Interpreta..:

Lindner, David ; Kramár, János ; Farquhar, Sebastian...
http://arxiv.org/abs/2301.05062.  , 2023
Link: http://arxiv.org/abs/230..
 
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10

The Hydra Effect: Emergent Self-repair in Language Model Co..:

McGrath, Thomas ; Rahtz, Matthew ; Kramar, Janos..
http://arxiv.org/abs/2307.15771.  , 2023
Link: http://arxiv.org/abs/230..
 
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11

Negotiation and honesty in artificial intelligence methods ..:

Kramár, János ; Eccles, Tom ; Gemp, Ian...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9726752/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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12

Designing all-pay auctions using deep learning and multi-ag..:

Gemp, Ian ; Anthony, Thomas ; Kramar, Janos...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547898/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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13

Sample-based Approximation of Nash in Large Many-Player Gam..:

Gemp, Ian ; Savani, Rahul ; Lanctot, Marc...
http://arxiv.org/abs/2106.01285.  , 2021
Link: http://arxiv.org/abs/210..
 
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14

Should I tear down this wall? Optimizing social metrics by ..:

Kramár, János ; Rabinowitz, Neil ; Eccles, Tom.
http://arxiv.org/abs/2004.07625.  , 2020
Link: http://arxiv.org/abs/200..
 
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15

Learning to Play No-Press Diplomacy with Best Response Poli..:

Anthony, Thomas ; Eccles, Tom ; Tacchetti, Andrea...
http://arxiv.org/abs/2006.04635.  , 2020
Link: http://arxiv.org/abs/200..
 
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