Sebastian Flennerhag

31 papers A* 8A 1Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	A	`conf`	Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization. GECCO Robert Tjarko Lange, Tom Schaul, Yutian Chen, Chris Lu, Tom Zahavy, Valentin Dalibard, Sebastian Flennerhag
2023	J	`jnl`	Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization. CoRR Robert Tjarko Lange, Tom Schaul, Yutian Chen, Chris Lu, Tom Zahavy, Valentin Dalibard, Sebastian Flennerhag
2023	—	`conf`	Discovering Evolution Strategies via Meta-Black-Box Optimization. GECCO Companion Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dalibard, Chris Lu, Satinder Singh, Sebastian Flennerhag
2023	A*	`conf`	Discovering Evolution Strategies via Meta-Black-Box Optimization. ICLR Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dalibard, Chris Lu, Satinder Singh, Sebastian Flennerhag
2023	A*	`conf`	Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality. ICLR Tom Zahavy, Yannick Schroecker, Feryal M. P. Behbahani, Kate Baumli, Sebastian Flennerhag, Shaobo Hou, Satinder Singh
2023	J	`jnl`	Optimism and Adaptivity in Policy Optimization. CoRR Veronica Chelu, Tom Zahavy, Arthur Guez, Doina Precup, Sebastian Flennerhag
2023	A*	`conf`	Optimistic Meta-Gradients. NeurIPS Sebastian Flennerhag, Tom Zahavy, Brendan O'Donoghue, Hado Philip van Hasselt, András György, Satinder Singh
2023	J	`jnl`	Optimistic Meta-Gradients. CoRR Sebastian Flennerhag, Tom Zahavy, Brendan O'Donoghue, Hado van Hasselt, András György, Satinder Singh
2023	A*	`conf`	ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs. ICML Ted Moskovitz, Brendan O'Donoghue, Vivek Veeriah, Sebastian Flennerhag, Satinder Singh, Tom Zahavy
2023	J	`jnl`	ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs. CoRR Ted Moskovitz, Brendan O'Donoghue, Vivek Veeriah, Sebastian Flennerhag, Satinder Singh, Tom Zahavy
2023	J	`jnl`	Vision-Language Models as a Source of Rewards. CoRR Kate Baumli, Satinder Baveja, Feryal M. P. Behbahani, Harris Chan, Gheorghe Comanici, Sebastian Flennerhag, Maxime Gazeau, Kristian Holsheimer, Dan Horgan, Michael Laskin, Clare Lyle, Hussain Masoom, Kay McKinney, Volodymyr Mnih, Alexander Neitz, Fabio Pardo, Jack Parker-Holder, John Quan, Tim Rocktäschel, Himanshu Sahni, Tom Schaul, Yannick Schroecker, Stephen Spencer, Richie Steigerwald, Luyu Wang, Lei Zhang
2022	A*	`conf`	Bootstrapped Meta-Learning. ICLR Sebastian Flennerhag, Yannick Schroecker, Tom Zahavy, Hado van Hasselt, David Silver, Satinder Singh
2022	J	`jnl`	Discovering Evolution Strategies via Meta-Black-Box Optimization. CoRR Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dallibard, Chris Lu, Satinder Singh, Sebastian Flennerhag
2022	J	`jnl`	Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality. CoRR Tom Zahavy, Yannick Schroecker, Feryal M. P. Behbahani, Kate Baumli, Sebastian Flennerhag, Shaobo Hou, Satinder Singh
2022	A*	`conf`	Introducing Symmetries to Black Box Meta Reinforcement Learning. AAAI Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram L. Friesen, Junhyuk Oh, Yutian Chen
2022	—	`conf`	Meta-Gradients in Non-Stationary Environments. CoLLAs Jelena Luketina, Sebastian Flennerhag, Yannick Schroecker, David Abel, Tom Zahavy, Satinder Singh
2022	J	`jnl`	Meta-Gradients in Non-Stationary Environments. CoRR Jelena Luketina, Sebastian Flennerhag, Yannick Schroecker, David Abel, Tom Zahavy, Satinder Singh
2022	—	`conf`	Probing Transfer in Deep Reinforcement Learning without Task Engineering. CoLLAs Andrei Alex Rusu, Sebastian Flennerhag, Dushyant Rao, Razvan Pascanu, Raia Hadsell
2022	J	`jnl`	Probing Transfer in Deep Reinforcement Learning without Task Engineering. CoRR Andrei A. Rusu, Sebastian Flennerhag, Dushyant Rao, Razvan Pascanu, Raia Hadsell
2021	J	`jnl`	Bootstrapped Meta-Learning. CoRR Sebastian Flennerhag, Yannick Schroecker, Tom Zahavy, Hado van Hasselt, David Silver, Satinder Singh
2021	J	`jnl`	Discovering Diverse Nearly Optimal Policies withSuccessor Features. CoRR Tom Zahavy, Brendan O'Donoghue, André Barreto, Volodymyr Mnih, Sebastian Flennerhag, Satinder Singh
2021	J	`jnl`	Introducing Symmetries to Black Box Meta Reinforcement Learning. CoRR Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram L. Friesen, Junhyuk Oh, Yutian Chen
2020	A*	`conf`	Meta-Learning with Warped Gradient Descent. ICLR Sebastian Flennerhag, Andrei A. Rusu, Razvan Pascanu, Francesco Visin, Hujun Yin, Raia Hadsell
2020	J	`jnl`	QuantNet: Transferring Learning Across Systematic Trading Strategies. CoRR Adriano S. Koshiyama, Sebastian Flennerhag, Stefano B. Blumberg, Nick Firoozye, Philip C. Treleaven
2020	J	`jnl`	Temporal Difference Uncertainties as a Signal for Exploration. CoRR Sebastian Flennerhag, Jane X. Wang, Pablo Sprechmann, Francesco Visin, Alexandre Galashov, Steven Kapturowski, Diana L. Borsa, Nicolas Heess, André Barreto, Razvan Pascanu
2019	J	`jnl`	Augmenting correlation structures in spatial data using deep generative models. CoRR Konstantin Klemmer, Adriano S. Koshiyama, Sebastian Flennerhag
2019	J	`jnl`	Meta-Learning with Warped Gradient Descent. CoRR Sebastian Flennerhag, Andrei A. Rusu, Razvan Pascanu, Hujun Yin, Raia Hadsell
2019	—	`conf`	Transferring Knowledge across Learning Processes. ICLR Sebastian Flennerhag, Pablo Garcia Moreno, Neil D. Lawrence, Andreas C. Damianou
2018	A*	`conf`	Breaking the Activation Function Bottleneck through Adaptive Parameterization. NeurIPS Sebastian Flennerhag, Hujun Yin, John A. Keane, Mark J. Elliot
2018	J	`jnl`	Breaking the Activation Function Bottleneck through Adaptive Parameterization. CoRR Sebastian Flennerhag, Hujun Yin, John A. Keane, Mark J. Elliot
2018	J	`jnl`	Transferring Knowledge across Learning Processes. CoRR Sebastian Flennerhag, Pablo Garcia Moreno, Neil D. Lawrence, Andreas C. Damianou