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Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness

Tom Everitt, Silvia Chiappa

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Online Apprenticeship Learning

Lior Shani *, Tom Zahavy, Shie Mannor *

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Chaining Value Functions for Off-Policy Learning

Simon Schmitt, John Shawe-Taylor *, Hado van Hasselt

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Introducing Symmetries to Black Box Meta Reinforcement Learning

Louis Kirsch *, Sebastian Flennerhag, Hado van Hasselt, Abe Friesen, Junhyuk Oh, Yutian Chen

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Learning Expected Emphatic Traces for Deep RL

Ray Jiang, Shangtong Zhang, Veronica Chelu, Adam White, Hado van Hasselt

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Analogy Training Multilingual Encoders

Anders Søgaard *, Sebastian Ruder, Ivan Vulić *, Mareike Hartmann *, Nicolas Garneau *, Anders Sandholm *

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Path-specific Objectives for Safer Agent Incentives

Sebastian Farquhar *, Ryan Carey *, Tom Everitt

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How RL Agents Behave when their Actions are Modified

Eric Langlois *, Tom Everitt, Shane Legg

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Agent Incentives: A Causal Perspective

Tom Everitt, Ryan Carey *, Eric Langlois *, Pedro Ortega, Shane Legg

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Solving Common-Payoff Games with Approximate Policy Iteration

Finbarr Timbers, Marc Lanctot, Michael Bowling, Edward Lockhart, Neil Burch, Martin Schmid

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Relative Variational Intrinsic Control

Kate Baumli, David Warde-Farley, Steven Hansen, Vlad Mnih

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Options of Interest: Temporal Abstraction with Interest Functions

Khimya Khetarpal *, M Klissarov *, M Chevalier-Boisvert *, Pierre-Luc Bacon *, Doina Precup

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Policy-Guided Heuristic Search with Guarantees

Laurent Orseau, L Lelis *, Tor Lattimore, Theophane Weber

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Gamma-Nets: Generalizing Value Estimation over Timescale

J Gunther *, Alex Kearney *, M Dawson *, Craig Sherstan *, Patrick Pilarski

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Deep Q-learning from Demonstrations

Todd Hester, Mel Vecerik, Olivier Pietquin *, Tom Schaul, Bilal Piot, Dan Horgan, John Quan, A Sendonaris *, Gabriel Dulac-Arnold *, Ian Osband, John Agapiou, Joel Leibo, Audrunas Gruslys

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Increasing the Action Gap: New Operators for Reinforcement Learning

Marc Gendron-Bellemare, Georg Ostrovski, Arthur Guez, P S Thomas *, Rémi Munos

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Deep Reinforcement Learning with Double Q-learning

Hado van Hasselt, Arthur Guez, David Silver

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Compress and Control

Joel Veness, Marc Gendron-Bellemare, M Hutter *, Alvin Chua, Guillaume Desjardins

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Fast gradient descent for drifting least squares regression, with application to bandits

N Korda *, L A Prashanth *, Rémi Munos

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