Fairness in Reinforcement Learning

Introduction to Reinforcement Learning

Richard Sutton and Andrew Barto · 1998

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Approximate planning in large POMDPs via reusable trajectories

Michael Kearns, Yishay Mansour, and Andrew Ng · 2000

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R-MAX - A general polynomial time algorithm for near-optimal reinforcement learning

Ronen Brafman and Moshe Tennenholtz · 2002

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Near-optimal reinforcement learning in polynomial time

Michael Kearns and Satinder Singh · 2002

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Robust reinforcement learning

Jun Morimoto and Kenji Doya · 2005

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Discrimination-aware data mining

Dino Pedreshi, Salvatore Ruggieri, and Franco Turini · 2008

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Model-based reinforcement learning with nearly tight exploration complexity bounds

Istv’an Szita and Csaba Szepesvári · 2010

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k-NN as an implementation of situation testing for discrimination discovery and prevention

Binh Thanh Luong, Salvatore Ruggieri, and Franco Turini · 2011

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Fairness through awareness

Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Richard Zemel · 2012

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Decision theory for discrimination-aware classification

Faisal Kamiran, Asim Karim, and Xiangliang Zhang · 2012

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Fairness-aware classifier with prejudice remover regularizer

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, and Jun Sakuma · 2012

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Lightning does not strike twice: Robust MDPs with coupled uncertainty

Shie Mannor, Ofir Mebel, and Huan Xu · 2012

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A methodology for direct and indirect discrimination prevention in data mining

Sara Hajian and Josep Domingo-Ferrer · 2013

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Reinforcement learning in robust markov decision processes

Shiau Hong Lim, Huan Xu, and Shie Mannor · 2013

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Discrimination in online ad delivery

Latanya Sweeney · 2013

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Learning fair representations

Rich Zemel, Yu Wu, Kevin Swersky, Toni Pitassi, and Cynthia Dwork · 2013

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On the (im)possibility of fairness

Original

Sorelle Friedler, Carlos Scheidegger, and Suresh Venkatasubramanian · 2016

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Equality of opportunity in supervised learning

Moritz Hardt, Eric Price, and Nathan Srebro · 2016

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Fairness in learning: Classic and contextual bandits

Matthew Joseph, Michael Kearns, Jamie Morgenstern, and Aaron Roth · 2016

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Can an algorithm hire better than a human?

Clair Miller · 2016

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Predictive policing using machine learning to detect patterns of crime

Cynthia Rudin · 2016

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Personal Communication, June 2016

Satinder Singh · 2016

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