Jost Tobias Springenberg
Albert-Ludwigs-Universität Freiburg
H-index: 35
Europe-Germany
Top articles of Jost Tobias Springenberg
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Offline Actor-Critic Reinforcement Learning Scales to Large Models | arXiv preprint arXiv:2402.05546 | Jost Tobias Springenberg Abbas Abdolmaleki Jingwei Zhang Oliver Groth Michael Bloesch | 2024/2/8 |
GATS: Gather-Attend-Scatter | arXiv preprint arXiv:2401.08525 | Konrad Zolna Serkan Cabi Yutian Chen Eric Lau Claudio Fantacci | 2024/1/16 |
Robocat: A self-improving foundation agent for robotic manipulation | arXiv preprint arXiv:2306.11706 | Konstantinos Bousmalis Giulia Vezzani Dushyant Rao Coline Devin Alex X Lee | 2023/6/20 |
A generalist dynamics model for control | arXiv preprint arXiv:2305.10912 | Ingmar Schubert Jingwei Zhang Jake Bruce Sarah Bechtle Emilio Parisotto | 2023/5/18 |
Leveraging jumpy models for planning and fast learning in robotic domains | arXiv preprint arXiv:2302.12617 | Jingwei Zhang Jost Tobias Springenberg Arunkumar Byravan Leonard Hasenclever Abbas Abdolmaleki | 2023/2/24 |
Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots | arXiv preprint arXiv:2312.11374 | Thomas Lampe Abbas Abdolmaleki Sarah Bechtle Sandy H Huang Jost Tobias Springenberg | 2023/12/18 |
RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation | Transactions on Machine Learning Research | Konstantinos Bousmalis Giulia Vezzani Dushyant Rao Coline Manon Devin Alex X Lee | 2023/9/6 |
Training an action selection system using relative entropy q-learning | 2023/7/6 | ||
Hierarchical policies for multitask transfer | 2022/7/28 | ||
Learning curve prediction with Bayesian neural networks | Aaron Klein Stefan Falkner Jost Tobias Springenberg Frank Hutter | 2022/7/21 | |
A generalist agent | arXiv preprint arXiv:2205.06175 | Scott Reed Konrad Zolna Emilio Parisotto Sergio Gomez Colmenarejo Alexander Novikov | 2022/5/12 |
Robust reinforcement learning for continuous control with model misspecification | 2022/10/27 | ||
Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach | arXiv preprint arXiv:2204.10256 | Bobak Shahriari Abbas Abdolmaleki Arunkumar Byravan Abe Friesen Siqi Liu | 2022/4/21 |
Collect & infer-a fresh look at data-efficient reinforcement learning | Martin Riedmiller Jost Tobias Springenberg Roland Hafner Nicolas Heess | 2022/1/11 | |
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 | 2022/10/23 | |
Beyond pick-and-place: Tackling robotic stacking of diverse shapes | Alex X Lee Coline Manon Devin Yuxiang Zhou Thomas Lampe Konstantinos Bousmalis | 2021/6/19 | |
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning | arXiv preprint arXiv:2106.08199 | Abbas Abdolmaleki Sandy H Huang Giulia Vezzani Bobak Shahriari Jost Tobias Springenberg | 2021/6/15 |
Graph neural networks representing physical systems | 2021/2/18 | ||
Decoupled exploration and exploitation policies for sample-efficient reinforcement learning | arXiv preprint arXiv:2101.09458 | William F Whitney Michael Bloesch Jost Tobias Springenberg Abbas Abdolmaleki Kyunghyun Cho | 2021/1/23 |
Evaluating model-based planning and planner amortization for continuous control | arXiv preprint arXiv:2110.03363 | Arunkumar Byravan Leonard Hasenclever Piotr Trochim Mehdi Mirza Alessandro Davide Ialongo | 2021/10/7 |
