Jost Tobias Springenberg

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2012–2025

Best venue rank

Where they publish

Papers

27 indexed papers, newest first.

Year	Venue	Title	Authors
2025	ICLR	Learning from negative feedback, or positive feedback or both.	Abbas Abdolmaleki, Bilal Piot, Bobak Shahriari, Jost Tobias Springenberg, Tim Hertweck, Michael Bloesch, Rishabh Joshi, Thomas Lampe, Junhyuk Oh, Nicolas Heess, Jonas Buchli, Martin A. Riedmiller
2024	ICML	Offline Actor-Critic Reinforcement Learning Scales to Large Models.	Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang, Oliver Groth, Michael Bloesch, Thomas Lampe, Philemon Brakel, Sarah Bechtle, Steven Kapturowski, Roland Hafner, Nicolas Heess, Martin A. Riedmiller
2024	ICRA	Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots.	Thomas Lampe, Abbas Abdolmaleki, Sarah Bechtle, Sandy H. Huang, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin A. Riedmiller
2022	ICLR	Evaluating Model-Based Planning and Planner Amortization for Continuous Control.	Arunkumar Byravan, Leonard Hasenclever, Piotr Trochim, Mehdi Mirza, Alessandro Davide Ialongo, Yuval Tassa, Jost Tobias Springenberg, Abbas Abdolmaleki, Nicolas Heess, Josh Merel, Martin A. Riedmiller
2022	IROS	How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation.	Alex X. Lee, Coline Devin, Jost Tobias Springenberg, Yuxiang Zhou, Thomas Lampe, Abbas Abdolmaleki, Konstantinos Bousmalis
2021	CoRL	Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes.	Alex X. Lee, Coline Manon Devin, Yuxiang Zhou, Thomas Lampe, Konstantinos Bousmalis, Jost Tobias Springenberg, Arunkumar Byravan, Abbas Abdolmaleki, Nimrod Gileadi, David Khosid, Claudio Fantacci, Jos Enrique Chen, Akhil Raju, Rae Jeong, Michael Neunert, Antoine Laurens, Stefano Saliceti, Federico Casarini, Martin A. Riedmiller, Raia Hadsell, Francesco Nori
2021	CoRL	Collect & Infer - a fresh look at data-efficient Reinforcement Learning.	Martin A. Riedmiller, Jost Tobias Springenberg, Roland Hafner, Nicolas Heess
2020	CoRL	Learning Dexterous Manipulation from Suboptimal Experts.	Rae Jeong, Jost Tobias Springenberg, Jackie Kay, Daniel Zheng, Alexandre Galashov, Nicolas Heess, Francesco Nori
2020	ICLR	Robust Reinforcement Learning for Continuous Control with Model Misspecification.	Daniel J. Mankowitz, Nir Levine, Rae Jeong, Abbas Abdolmaleki, Jost Tobias Springenberg, Yuanyuan Shi, Jackie Kay, Todd Hester, Timothy A. Mann, Martin A. Riedmiller
2020	ICLR	Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning.	Noah Y. Siegel, Jost Tobias Springenberg, Felix Berkenkamp, Abbas Abdolmaleki, Michael Neunert, Thomas Lampe, Roland Hafner, Nicolas Heess, Martin A. Riedmiller
2020	ICLR	V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control.	H. Francis Song, Abbas Abdolmaleki, Jost Tobias Springenberg, Aidan Clark, Hubert Soyer, Jack W. Rae, Seb Noury, Arun Ahuja, Siqi Liu, Dhruva Tirumala, Nicolas Heess, Dan Belov, Martin A. Riedmiller, Matthew M. Botvinick
2019	CoRL	Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models.	Arunkumar Byravan, Jost Tobias Springenberg, Abbas Abdolmaleki, Roland Hafner, Michael Neunert, Thomas Lampe, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
2019	CoRL	Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics.	Michael Neunert, Abbas Abdolmaleki, Markus Wulfmeier, Thomas Lampe, Jost Tobias Springenberg, Roland Hafner, Francesco Romano, Jonas Buchli, Nicolas Heess, Martin A. Riedmiller
2018	ICLR	Maximum a Posteriori Policy Optimisation.	Abbas Abdolmaleki, Jost Tobias Springenberg, Yuval Tassa, Rmi Munos, Nicolas Heess, Martin A. Riedmiller
2018	ICLR	Learning an Embedding Space for Transferable Robot Skills.	Karol Hausman, Jost Tobias Springenberg, Ziyu Wang, Nicolas Heess, Martin A. Riedmiller
2018	ICML	Learning by Playing Solving Sparse Reward Tasks from Scratch.	Martin A. Riedmiller, Roland Hafner, Thomas Lampe, Michael Neunert, Jonas Degrave, Tom Van de Wiele, Vlad Mnih, Nicolas Heess, Jost Tobias Springenberg
2018	ICML	Graph Networks as Learnable Physics Engines for Inference and Control.	Alvaro Sanchez-Gonzalez, Nicolas Heess, Jost Tobias Springenberg, Josh Merel, Martin A. Riedmiller, Raia Hadsell, Peter W. Battaglia
2017	ICLR	Learning Curve Prediction with Bayesian Neural Networks.	Aaron Klein, Stefan Falkner, Jost Tobias Springenberg, Frank Hutter
2017	IROS	Deep reinforcement learning with successor features for navigation across similar environments.	Jingwei Zhang, Jost Tobias Springenberg, Joschka Boedecker, Wolfram Burgard
2016	ICML	Towards Automatically-Tuned Neural Networks.	Hector Mendoza, Aaron Klein, Matthias Feurer, Jost Tobias Springenberg, Frank Hutter
2015	AAAI	Initializing Bayesian Hyperparameter Optimization via Meta-Learning.	Matthias Feurer, Jost Tobias Springenberg, Frank Hutter
2015	CVPR	Learning to generate chairs with convolutional neural networks.	Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox
2015	IJCAI	Speeding Up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves.	Tobias Domhan, Jost Tobias Springenberg, Frank Hutter
2015	IROS	Multimodal deep learning for robust RGB-D object recognition.	Andreas Eitel, Jost Tobias Springenberg, Luciano Spinello, Martin A. Riedmiller, Wolfram Burgard
2014	ECAI	Using Meta-Learning to Initialize Bayesian Optimization of Hyperparameters.	Matthias Feurer, Jost Tobias Springenberg, Frank Hutter
2012	ICONIP	Learning Temporal Coherent Features through Life-Time Sparsity.	Jost Tobias Springenberg, Martin A. Riedmiller
2012	ICRA	A learned feature descriptor for object recognition in RGB-D data.	Manuel Blum, Jost Tobias Springenberg, Jan Wlfing, Martin A. Riedmiller