Inverse Contextual Bandits: Learning How Behavior Evolves over Time

13 July 2021

Papers citing "Inverse Contextual Bandits: Learning How Behavior Evolves over Time"

8 / 8 papers shown

Title
IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History Yi Xu Weiran Shen Xiao Zhang Jun Xu OffRL 24 0 0 24 Mar 2024
Defining Expertise: Applications to Treatment Effect Estimation Alihan Huyuk Qiyao Wei Alicia Curth M. Schaar CML 27 2 0 01 Mar 2024
When is Off-Policy Evaluation Useful? A Data-Centric Perspective Hao Sun Alex J. Chan Nabeel Seedat Alihan Huyuk M. Schaar ELM OffRL 15 0 0 23 Nov 2023
Optimising Human-AI Collaboration by Learning Convincing Explanations Alex J. Chan Alihan Huyuk M. Schaar 24 3 0 13 Nov 2023
Online Decision Mediation Daniel Jarrett Alihan Huyuk M. Schaar 25 2 0 28 Oct 2023
Efficient and Interpretable Bandit Algorithms Subhojyoti Mukherjee Ruihao Zhu B. Kveton FAtt 13 2 0 23 Oct 2023
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples Hao Sun Alihan Huyuk Daniel Jarrett M. Schaar OffRL 34 6 0 11 Oct 2023
Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies Alex J. Chan Alicia Curth M. Schaar CML OffRL 12 8 0 14 Mar 2022