E-LIB Suche - Ergebnisse für: Everitt, Tom

1

Discovering agents:

Kenton, Zachary ; Kumar, Ramana ; Farquhar, Sebastian...
Artificial Intelligence. 322 (2023) - p. 103963 , 2023

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

2

Reasoning about causality in games:

Hammond, Lewis ; Fox, James ; Everitt, Tom...
Artificial Intelligence. 320 (2023) - p. 103919 , 2023

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

3

Honesty Is the Best Policy: Defining and Mitigating AI Dece..:

Ward, Francis Rhys ; Belardinelli, Francesco ; Toni, Francesca.
http://arxiv.org/abs/2312.01350. , 2023

Link: http://arxiv.org/abs/231..

4

Human Control: Definitions and Algorithms:

Carey, Ryan ; Everitt, Tom
http://arxiv.org/abs/2305.19861. , 2023

Link: http://arxiv.org/abs/230..

5

Reasoning about Causality in Games:

Hammond, Lewis ; Fox, James ; Everitt, Tom...
http://arxiv.org/abs/2301.02324. , 2023

Link: http://arxiv.org/abs/230..

6

Characterising Decision Theories with Mechanised Causal Gra..:

MacDermott, Matt ; Everitt, Tom ; Belardinelli, Francesco
http://arxiv.org/abs/2307.10987. , 2023

Link: http://arxiv.org/abs/230..

7

A Complete Criterion for Value of Information in Soluble In..:

van Merwijk, Chris ; Carey, Ryan ; Everitt, Tom
http://arxiv.org/abs/2202.11629. , 2022

Link: http://arxiv.org/abs/220..

8

Why Fair Labels Can Yield Unfair Predictions: Graphical Con..:

Ashurst, Carolyn ; Carey, Ryan ; Chiappa, Silvia.
http://arxiv.org/abs/2202.10816. , 2022

Link: http://arxiv.org/abs/220..

9

Discovering Agents:

Kenton, Zachary ; Kumar, Ramana ; Farquhar, Sebastian...
http://arxiv.org/abs/2208.08345. , 2022

Link: http://arxiv.org/abs/220..

10

Path-Specific Objectives for Safer Agent Incentives:

Farquhar, Sebastian ; Carey, Ryan ; Everitt, Tom
http://arxiv.org/abs/2204.10018. , 2022

Link: http://arxiv.org/abs/220..

11

Reward tampering problems and solutions in reinforcement le..:

Everitt, Tom ; Hutter, Marcus ; Kumar, Ramana.
Synthese. 198 (2021) S27 - p. 6435-6467 , 2021

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

12

Equilibrium Refinements for Multi-Agent Influence Diagrams:..:

, In: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems,

Hammond, Lewis ; Fox, James ; Everitt, Tom.. - p. 574-582 , 2021

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

13

Classification by decomposition: a novel approach to classi..:

Böörs, Mikael ; Wängberg, Tobias ; Everitt, Tom.
Theory and Decision. 93 (2021) 3 - p. 463-508 , 2021

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

14

Equilibrium Refinements for Multi-Agent Influence Diagrams:..:

Hammond, Lewis ; Fox, James ; Everitt, Tom..
http://arxiv.org/abs/2102.05008. , 2021

Link: http://arxiv.org/abs/210..

15

Agent Incentives: A Causal Perspective:

Everitt, Tom ; Carey, Ryan ; Langlois, Eric..
http://arxiv.org/abs/2102.01685. , 2021

Link: http://arxiv.org/abs/210..