Gregory Farquhar

44 papers A* 17A 1Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DataRater: Meta-Learned Dataset Curation. CoRR Dan A. Calian, Gregory Farquhar, Iurii Kemaev, Luisa M. Zintgraf, Matteo Hessel, Jeremy Shar, Junhyuk Oh, András György, Tom Schaul, Jeffrey Dean, Hado van Hasselt, David Silver
2025	J	`jnl`	Discovering state-of-the-art reinforcement learning algorithms. Nat. Junhyuk Oh, Gregory Farquhar, Iurii Kemaev, Dan A. Calian, Matteo Hessel, Luisa M. Zintgraf, Satinder Singh, Hado van Hasselt, David Silver
2025	A*	`conf`	Scalable Meta-Learning via Mixed-Mode Differentiation. ICML Iurii Kemaev, Dan A. Calian, Luisa M. Zintgraf, Gregory Farquhar, Hado van Hasselt
2025	J	`jnl`	Scalable Meta-Learning via Mixed-Mode Differentiation. CoRR Iurii Kemaev, Dan A. Calian, Luisa M. Zintgraf, Gregory Farquhar, Hado van Hasselt
2025	J	`jnl`	The 2025 PNPL Competition: Speech Detection and Phoneme Classification in the LibriBrain Dataset. CoRR Gilad Landau, Miran Özdogan, Gereon Elvers, Francesco Mantegna, Pratik Somaiya, Dulhan Jayalath, Luisa Kurth, Teyun Kwon, Brendan Shillingford, Gregory Farquhar, Minqi Jiang, Karim Jerbi, Hamza Abdelhedi, Yorguin José Mantilla Ramos, Caglar Gulcehre, Mark W. Woolrich, Natalie Voets, Oiwi Parker Jones
2023	A*	`conf`	Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design. NeurIPS Matthew Thomas Jackson, Minqi Jiang, Jack Parker-Holder, Risto Vuorio, Chris Lu, Gregory Farquhar, Shimon Whiteson, Jakob N. Foerster
2023	J	`jnl`	Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design. CoRR Matthew Thomas Jackson, Minqi Jiang, Jack Parker-Holder, Risto Vuorio, Chris Lu, Gregory Farquhar, Shimon Whiteson, Jakob Nicolaus Foerster
2022	J	`jnl`	An Investigation of the Bias-Variance Tradeoff in Meta-Gradients. CoRR Risto Vuorio, Jacob Beck, Shimon Whiteson, Jakob N. Foerster, Gregory Farquhar
2022	A*	`conf`	Model-Value Inconsistency as a Signal for Epistemic Uncertainty. ICML Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram L. Friesen, Feryal M. P. Behbahani, Tom Schaul, André Barreto, Simon Osindero
2021	J	`jnl`	Model-Value Inconsistency as a Signal for Epistemic Uncertainty. CoRR Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram L. Friesen, Feryal M. P. Behbahani, Tom Schaul, André Barreto, Simon Osindero
2021	A*	`conf`	Proper Value Equivalence. NeurIPS Christopher Grimm, André Barreto, Gregory Farquhar, David Silver, Satinder Singh
2021	J	`jnl`	Proper Value Equivalence. CoRR Christopher Grimm, André Barreto, Gregory Farquhar, David Silver, Satinder Singh
2021	A*	`conf`	PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning. ICML Angelos Filos, Clare Lyle, Yarin Gal, Sergey Levine, Natasha Jaques, Gregory Farquhar
2021	J	`jnl`	PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning. CoRR Angelos Filos, Clare Lyle, Yarin Gal, Sergey Levine, Natasha Jaques, Gregory Farquhar
2021	A*	`conf`	Self-Consistent Models and Values. NeurIPS Gregory Farquhar, Kate Baumli, Zita Marinho, Angelos Filos, Matteo Hessel, Hado Philip van Hasselt, David Silver
2021	J	`jnl`	Self-Consistent Models and Values. CoRR Gregory Farquhar, Kate Baumli, Zita Marinho, Angelos Filos, Matteo Hessel, Hado van Hasselt, David Silver
2021	A*	`conf`	Transient Non-stationarity and Generalisation in Deep Reinforcement Learning. ICLR Maximilian Igl, Gregory Farquhar, Jelena Luketina, Wendelin Boehmer, Shimon Whiteson
2020	A*	`conf`	Growing Action Spaces. ICML Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve
2020	J	`jnl`	Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. CoRR Tabish Rashid, Mikayel Samvelyan, Christian Schröder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson
2020	J	`jnl`	Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. J. Mach. Learn. Res. Tabish Rashid, Mikayel Samvelyan, Christian Schröder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson
2020	J	`jnl`	The Impact of Non-stationarity on Generalisation in Deep Reinforcement Learning. CoRR Maximilian Igl, Gregory Farquhar, Jelena Luketina, Wendelin Boehmer, Shimon Whiteson
2020	A*	`conf`	Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. NeurIPS Tabish Rashid, Gregory Farquhar, Bei Peng, Shimon Whiteson
2020	J	`jnl`	Weighted QMIX: Expanding Monotonic Value Function Factorisation. CoRR Tabish Rashid, Gregory Farquhar, Bei Peng, Shimon Whiteson
2019	A*	`conf`	A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs. ICML Jingkai Mao, Jakob N. Foerster, Tim Rocktäschel, Maruan Al-Shedivat, Gregory Farquhar, Shimon Whiteson
2019	A*	`conf`	A Survey of Reinforcement Learning Informed by Natural Language. IJCAI Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob N. Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktäschel
2019	J	`jnl`	A Survey of Reinforcement Learning Informed by Natural Language. CoRR Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob N. Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktäschel
2019	J	`jnl`	Growing Action Spaces. CoRR Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve
2019	J	`jnl`	Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Estimators for Reinforcement Learning. CoRR Gregory Farquhar, Shimon Whiteson, Jakob N. Foerster
2019	A*	`conf`	Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning. NeurIPS Gregory Farquhar, Shimon Whiteson, Jakob N. Foerster
2019	A*	`conf`	Multi-Agent Common Knowledge Reinforcement Learning. NeurIPS Christian Schröder de Witt, Jakob N. Foerster, Gregory Farquhar, Philip H. S. Torr, Wendelin Boehmer, Shimon Whiteson
2019	A	`conf`	The StarCraft Multi-Agent Challenge. AAMAS Mikayel Samvelyan, Tabish Rashid, Christian Schröder de Witt, Gregory Farquhar, Nantas Nardelli, Tim G. J. Rudner, Chia-Man Hung, Philip H. S. Torr, Jakob N. Foerster, Shimon Whiteson
2019	J	`jnl`	The StarCraft Multi-Agent Challenge. CoRR Mikayel Samvelyan, Tabish Rashid, Christian Schröder de Witt, Gregory Farquhar, Nantas Nardelli, Tim G. J. Rudner, Chia-Man Hung, Philip H. S. Torr, Jakob N. Foerster, Shimon Whiteson
2018	A*	`conf`	Counterfactual Multi-Agent Policy Gradients. AAAI Jakob N. Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson
2018	A*	`conf`	DiCE: The Infinitely Differentiable Monte Carlo Estimator. ICML Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric P. Xing, Shimon Whiteson
2018	—	`conf`	DiCE: The Infinitely Differentiable Monte-Carlo Estimator. ICLR (Workshop) Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric P. Xing, Shimon Whiteson
2018	J	`jnl`	DiCE: The Infinitely Differentiable Monte-Carlo Estimator. CoRR Jakob N. Foerster, Gregory Farquhar, Maruan Al-Shedivat, Tim Rocktäschel, Eric P. Xing, Shimon Whiteson
2018	J	`jnl`	Multi-Agent Common Knowledge Reinforcement Learning. CoRR Jakob N. Foerster, Christian A. Schröder de Witt, Gregory Farquhar, Philip H. S. Torr, Wendelin Boehmer, Shimon Whiteson
2018	A*	`conf`	QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. ICML Tabish Rashid, Mikayel Samvelyan, Christian Schröder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson
2018	J	`jnl`	QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. CoRR Tabish Rashid, Mikayel Samvelyan, Christian Schröder de Witt, Gregory Farquhar, Jakob N. Foerster, Shimon Whiteson
2018	—	`conf`	TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning. ICLR (Poster) Gregory Farquhar, Tim Rocktäschel, Maximilian Igl, Shimon Whiteson
2017	J	`jnl`	Counterfactual Multi-Agent Policy Gradients. CoRR Jakob N. Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson
2017	A*	`conf`	Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning. ICML Jakob N. Foerster, Nantas Nardelli, Gregory Farquhar, Triantafyllos Afouras, Philip H. S. Torr, Pushmeet Kohli, Shimon Whiteson
2017	J	`jnl`	Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning. CoRR Jakob N. Foerster, Nantas Nardelli, Gregory Farquhar, Philip H. S. Torr, Pushmeet Kohli, Shimon Whiteson
2017	J	`jnl`	TreeQN and ATreeC: Differentiable Tree Planning for Deep Reinforcement Learning. CoRR Gregory Farquhar, Tim Rocktäschel, Maximilian Igl, Shimon Whiteson