Sebastian Flennerhag

According to our database, Sebastian Flennerhag authored at least 19 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Vision-Language Models as a Source of Rewards.

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

CoRR, 2023

Optimism and Adaptivity in Policy Optimization.

Veronica Chelu, Tom Zahavy, Arthur Guez, Doina Precup, Sebastian Flennerhag

CoRR, 2023

Optimistic Meta-Gradients.

Sebastian Flennerhag, Tom Zahavy, Brendan O'Donoghue, Hado Philip van Hasselt, András György, Satinder Singh

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs.

Ted Moskovitz, Brendan O'Donoghue, Vivek Veeriah, Sebastian Flennerhag, Satinder Singh, Tom Zahavy

Proceedings of the International Conference on Machine Learning, 2023

Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality.

Tom Zahavy, Yannick Schroecker, Feryal M. P. Behbahani, Kate Baumli, Sebastian Flennerhag, Shaobo Hou, Satinder Singh

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Discovering Evolution Strategies via Meta-Black-Box Optimization.

Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dalibard, Chris Lu, Satinder Singh, Sebastian Flennerhag

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization.

Robert Tjarko Lange, Tom Schaul, Yutian Chen, Chris Lu, Tom Zahavy, Valentin Dalibard, Sebastian Flennerhag

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022

Bootstrapped Meta-Learning.

Sebastian Flennerhag, Yannick Schroecker, Tom Zahavy, Hado van Hasselt, David Silver, Satinder Singh

Proceedings of the Tenth International Conference on Learning Representations, 2022

Probing Transfer in Deep Reinforcement Learning without Task Engineering.

Andrei Alex Rusu, Sebastian Flennerhag, Dushyant Rao, Razvan Pascanu, Raia Hadsell

Proceedings of the Conference on Lifelong Learning Agents, 2022

Meta-Gradients in Non-Stationary Environments.

Jelena Luketina, Sebastian Flennerhag, Yannick Schroecker, David Abel, Tom Zahavy, Satinder Singh

Proceedings of the Conference on Lifelong Learning Agents, 2022

Introducing Symmetries to Black Box Meta Reinforcement Learning.

Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram L. Friesen, Junhyuk Oh, Yutian Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Discovering Diverse Nearly Optimal Policies withSuccessor Features.

Tom Zahavy, Brendan O'Donoghue, André Barreto, Volodymyr Mnih, Sebastian Flennerhag, Satinder Singh

CoRR, 2021

2020

Temporal Difference Uncertainties as a Signal for Exploration.

Sebastian Flennerhag, Jane X. Wang, Pablo Sprechmann, Francesco Visin, Alexandre Galashov, Steven Kapturowski, Diana L. Borsa, Nicolas Heess, André Barreto, Razvan Pascanu

CoRR, 2020

QuantNet: Transferring Learning Across Systematic Trading Strategies.

Adriano S. Koshiyama, Sebastian Flennerhag, Stefano B. Blumberg, Nick Firoozye, Philip C. Treleaven

CoRR, 2020

Meta-Learning with Warped Gradient Descent.

Sebastian Flennerhag, Andrei A. Rusu, Razvan Pascanu, Francesco Visin, Hujun Yin, Raia Hadsell

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Meta-Learning with Warped Gradient Descent.

Sebastian Flennerhag, Andrei A. Rusu, Razvan Pascanu, Hujun Yin, Raia Hadsell

CoRR, 2019

Augmenting correlation structures in spatial data using deep generative models.

Konstantin Klemmer, Adriano S. Koshiyama, Sebastian Flennerhag

CoRR, 2019

Transferring Knowledge across Learning Processes.

Sebastian Flennerhag, Pablo Garcia Moreno, Neil D. Lawrence, Andreas C. Damianou

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Breaking the Activation Function Bottleneck through Adaptive Parameterization.

Sebastian Flennerhag, Hujun Yin, John A. Keane, Mark J. Elliot

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018