E-LIB Suche - Ergebnisse für: Bachrach, Yoram

1

What can attribution methods show us about chemical languag..:

Hödl, Stefan ; Kachman, Tal ; Bachrach, Yoram..
Digital Discovery. , 2024

Link: https://doi.org/10.1039/..

2

TacticAI: an AI assistant for football tactics:

Wang, Zhe ; Veličković, Petar ; Hennes, Daniel...
Nature Communications. 15 (2024) 1 - p. , 2024

Link: https://doi.org/10.1038/..

3

Enhancing the reliability and accuracy of AI-enabled diagno..:

Dvijotham, Krishnamurthy ; Winkens, Jim ; Barsbey, Melih...
Nature Medicine. , 2023

Link: https://doi.org/10.1038/..

4

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/..

5

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/..

6

Cooperative AI: machines must learn to find common ground:

Dafoe, Allan ; Bachrach, Yoram ; Hadfield, Gillian...
Nature. 593 (2021) 7857 - p. 33-36 , 2021

Link: https://doi.org/10.1038/..

7

Human-computer Coalition Formation in Weighted Voting Games:

Mash, Moshe ; Fairstein, Roy ; Bachrach, Yoram..
ACM Transactions on Intelligent Systems and Technology. 11 (2020) 6 - p. 1-20 , 2020

Link: https://doi.org/10.1145/..

8

Negotiating team formation using deep reinforcement learnin:

Bachrach, Yoram ; Everett, Richard ; Hughes, Edward...
Artificial Intelligence. 288 (2020) - p. 103356 , 2020

Link: https://doi.org/10.1016/..

9

Human-computer Coalition Formation in Weighted Voting Games:

Mash, Moshe ; Fairstein, Roy ; Bachrach, Yoram..
ACM Transactions on Intelligent Systems and Technology (TIST). 11 (2020) 6 - p. 1-20 , 2020

Link: https://dl.acm.org/doi/1..

10

Learning to Resolve Alliance Dilemmas in Many-Player Zero-S..:

, In: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems,

Hughes, Edward ; Anthony, Thomas W. ; Eccles, Tom... - p. 538-547 , 2020

Link: https://dl.acm.org/doi/1..

11

The Body is Not a Given : Joint Agent Policy Learning an..:

, In: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems,

Banarse, Dylan ; Bachrach, Yoram ; Liu, Siqi... - p. 1134-1142 , 2019

Link: https://dl.acm.org/doi/1..

12

Strategic behavior and learning in all-pay auctions: an emp..:

Bachrach, Yoram ; Kash, Ian A. ; Key, Peter.
Autonomous Agents and Multi-Agent Systems. 33 (2019) 1-2 - p. 192-215 , 2019

Link: https://doi.org/10.1007/..

13

Computing Stable Solutions in Threshold Network Flow Games ..:

, In: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems,

Pacchiano, Aldo ; Bachrach, Yoram - p. 2153-2155 , 2019

Link: https://dl.acm.org/doi/1..

14

A Neural Architecture for Multi-label Text Classification:

, In: Advances in Intelligent Systems and Computing; Intelligent Systems and Applications,

Coope, Sam ; Bachrach, Yoram ; Žukov-Gregorič, Andrej... - p. 676-691 , 2018

Link: https://doi.org/10.1007/..

15

Analyzing Power in Weighted Voting Games with Super-Increas..:

Filmus, Yuval ; Oren, Joel ; Zick, Yair.
Theory of Computing Systems. 63 (2018) 1 - p. 150-174 , 2018

Link: https://doi.org/10.1007/..