E-LIB Suche - Ergebnisse für: McIlraith, Sheila

1

Now, Later, and Lasting: 10 Priorities for AI Research, Pol..:

Horvitz, Eric ; Conitzer, Vincent ; McIlraith, Sheila.
Communications of the ACM. 67 (2024) 6 - p. 39-40 , 2024

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

2

Managing extreme AI risks amid rapid progress:

Bengio, Yoshua ; Hinton, Geoffrey ; Yao, Andrew...
Science. 384 (2024) 6698 - p. 842-845 , 2024

Link: https://doi.org/10.1126/..

3

Do Embedded Ethics Modules Have Impact Beyond the Classroom:

, In: Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1,

Horton, Diane ; Liu, David ; McIlraith, Sheila A... - p. 533-539 , 2024

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

4

Learning reward machines: A study in partially observable r..:

Toro Icarte, Rodrigo ; Klassen, Toryn Q. ; Valenzano, Richard...
Artificial Intelligence. 323 (2023) - p. 103989 , 2023

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

5

Is More Better When Embedding Ethics in CS Courses?:

, In: Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1,

Horton, Diane ; Liu, David ; McIlraith, Sheila A.. - p. 652-658 , 2023

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

6

SAT-based optimal classification trees for non-binary data:

Shati, Pouya ; Cohen, Eldan ; McIlraith, Sheila A.
Constraints. 28 (2023) 2 - p. 166-202 , 2023

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

7

Knowledge-based programs as building blocks for planning:

Baier, Jorge A. ; McIlraith, Sheila A.
Artificial Intelligence. 303 (2022) - p. 103634 , 2022

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

8

Embedding Ethics in Computer Science Courses : Does it W..:

, In: Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1,

Horton, Diane ; McIlraith, Sheila A. ; Wang, Nina... - p. 481-487 , 2022

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

9

Proactive Robotic Assistance via Theory of Mind:

, In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),

Shvo, Maayan ; Hari, Ruthrash ; O'Reilly, Ziggy... - p. 9148-9155 , 2022

Link: https://doi.org/10.1109/..

10

Efficient multi-agent epistemic planning: Teaching planners..:

Muise, Christian ; Belle, Vaishak ; Felli, Paolo...
Artificial Intelligence. 302 (2022) - p. 103605 , 2022

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

11

Epistemic Plan Recognition:

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

Shvo, Maayan ; Klassen, Toryn Q. ; Sohrabi, Shirin. - p. 1251-1259 , 2020

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

12

Towards the Role of Theory of Mind in Explanation:

, In: Lecture Notes in Computer Science; Explainable, Transparent Autonomous Agents and Multi-Agent Systems,

Shvo, Maayan ; Klassen, Toryn Q. ; McIlraith, Sheila A. - p. 75-93 , 2020

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

13

Training Binarized Neural Networks Using MIP and CP:

, In: Lecture Notes in Computer Science; Principles and Practice of Constraint Programming,

Toro Icarte, Rodrigo ; Illanes, León ; Castro, Margarita P.... - p. 401-417 , 2019

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

14

Teaching Multiple Tasks to an RL Agent using LTL:

, In: Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems,

Toro Icarte, Rodrigo ; Klassen, Toryn Q. ; Valenzano, Richard. - p. 452-461 , 2018

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

15

Planning the transformation of overlays:

, In: Proceedings of the 31st Annual ACM Symposium on Applied Computing,

Yoon, Young ; Robinson, Nathan ; Muthusamy, Vinod.. - p. 500-507 , 2016

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