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User Tampering in Reinforcement Learning Recommender Systems

User Tampering in Reinforcement Learning Recommender Systems

9 September 2021
Charles Evans
Atoosa Kasirzadeh
    OffRL
    AAML
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Papers citing "User Tampering in Reinforcement Learning Recommender Systems"

4 / 4 papers shown
Title
Two Types of AI Existential Risk: Decisive and Accumulative
Two Types of AI Existential Risk: Decisive and Accumulative
Atoosa Kasirzadeh
49
13
0
20 Jan 2025
SHAPE: A Framework for Evaluating the Ethicality of Influence
SHAPE: A Framework for Evaluating the Ethicality of Influence
Elfia Bezou-Vrakatseli
Benedikt Brückner
Luke Thorburn
TDI
10
3
0
08 Sep 2023
Solutions to preference manipulation in recommender systems require
  knowledge of meta-preferences
Solutions to preference manipulation in recommender systems require knowledge of meta-preferences
Hal Ashton
Matija Franklin
8
5
0
14 Sep 2022
A Complete Criterion for Value of Information in Soluble Influence
  Diagrams
A Complete Criterion for Value of Information in Soluble Influence Diagrams
Chris van Merwijk
Ryan Carey
Tom Everitt
18
5
0
23 Feb 2022
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