Sebastian Schulze

According to our database, Sebastian Schulze authored at least 6 papers between 2018 and 2023.

Collaborative distances:

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

2023

Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management.

Julien Siems, Maximilian Schambach, Sebastian Schulze, Johannes S. Otterbach

CoRR, 2023

2022

Marginalising over Stationary Kernels with Bayesian Quadrature.

Saad Hamid, Sebastian Schulze, Michael A. Osborne, Stephen J. Roberts

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning.

Luisa M. Zintgraf, Sebastian Schulze, Cong Lu, Leo Feng, Maximilian Igl, Kyriacos Shiarlis, Yarin Gal, Katja Hofmann, Shimon Whiteson

J. Mach. Learn. Res., 2021

2020

Bayesian Optimization for Iterative Learning.

Vu Nguyen, Sebastian Schulze, Michael A. Osborne

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning.

Luisa M. Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson

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

2018

Active Reinforcement Learning with Monte-Carlo Tree Search.

Sebastian Schulze, Owain Evans

CoRR, 2018