Dec 13, 2019 · Title:Fair Contextual Multi-Armed Bandits: Theory and Experiments ... We introduce a Multi-Armed Bandit algorithm with fairness constraints ...
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Fair Contextual Multi-Armed Bandits: Theory and Experiments. Yifang Chen ... The fair contex- tual multi-armed bandit (extended abstract). In Pro ...
May 13, 2020 · Demonstrating fairness in decision making is essential for such systems to be broadly accepted. We introduce a Multi-Armed Bandit algorithm with ...
Dec 13, 2019 · Fair Contextual Multi-Armed Bandits: Theory and Experiments. Yifang ... We generalize this work by proposing a fair multi-armed bandit.
Fairness in Learning: Classic and Contextual Bandits ... We introduce the study of fairness in multi-armed bandit problems. Our fairness definition can be ...
May 9, 2020 · The Fair Contextual Multi-Armed Bandit. In Proc. of the 19th International Conference on Autonomous Agents and. Multiagent Systems (AAMAS ...
May 9, 2020 · The Fair Contextual Multi-Armed Bandit. In Proc. of the 19th International Conference on Autonomous Agents and. Multiagent Systems (AAMAS ...
We introduce the study of fairness in multi-armed bandit problems. Our fairness definition demands that, given a pool of applicants, a worse applicant is ...
Dec 17, 2023 · Bandit is still considered to be RL, it's the second chapter of SB. Bandits are still sequential, the primary assumption is that the actions of ...
Request PDF | Fair Contextual Multi-Armed Bandits: Theory and Experiments ... multi-armed bandit problem and the linear stochastic multi-armed bandit problem.