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An Investigation of the Bias-Variance Tradeoff in Meta-Gradients


Sep 22, 2022
Risto Vuorio, Jacob Beck, Shimon Whiteson, Jakob Foerster, Gregory Farquhar

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Model-Value Inconsistency as a Signal for Epistemic Uncertainty


Dec 08, 2021
Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram Friesen, Feryal Behbahani, Tom Schaul, André Barreto, Simon Osindero

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* The first three authors contributed equally 

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Self-Consistent Models and Values


Oct 25, 2021
Gregory Farquhar, Kate Baumli, Zita Marinho, Angelos Filos, Matteo Hessel, Hado van Hasselt, David Silver

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* NeurIPS 2021 

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Proper Value Equivalence


Jun 18, 2021
Christopher Grimm, André Barreto, Gregory Farquhar, David Silver, Satinder Singh

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PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning


Feb 24, 2021
Angelos Filos, Clare Lyle, Yarin Gal, Sergey Levine, Natasha Jaques, Gregory Farquhar

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Weighted QMIX: Expanding Monotonic Value Function Factorisation


Jun 18, 2020
Tabish Rashid, Gregory Farquhar, Bei Peng, Shimon Whiteson

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The Impact of Non-stationarity on Generalisation in Deep Reinforcement Learning


Jun 16, 2020
Maximilian Igl, Gregory Farquhar, Jelena Luketina, Wendelin Boehmer, Shimon Whiteson

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Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning


Mar 19, 2020
Tabish Rashid, Mikayel Samvelyan, Christian Schroeder de Witt, Gregory Farquhar, Jakob Foerster, Shimon Whiteson

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* Extended version of our ICML 2018 paper (arXiv:1803.11485) 

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Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Estimators for Reinforcement Learning


Sep 23, 2019
Gregory Farquhar, Shimon Whiteson, Jakob Foerster

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