Jost Tobias Springenberg

DeepMind

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Papers54 papers

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Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics

Neunert Michael,Abdolmaleki Abbas,Wulfmeier Markus, Lampe Thomas,Springenberg Jost Tobias, Hafner Roland, Romano Francesco,Buchli Jonas,Heess Nicolas,Riedmiller Martin

CoRL, pp.735-751, (2020)

Cited by2EIBibtex

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

ICLR, (2020)

Cited by16EIBibtex

Learning Dexterous Manipulation from Suboptimal Experts

Rae Jeong,Jost Tobias Springenberg, Jackie Kay, Daniel Zheng, Yuxiang Zhou, Alexandre Galashov,Nicolas Heess, Francesco Nori

Bibtex

Local Search for Policy Iteration in Continuous Control

Jost Tobias Springenberg,Nicolas Heess,Daniel Mankowitz,Josh Merel, Arunkumar Byravan,Abbas Abdolmaleki, Jackie Kay,Jonas Degrave, Julian Schrittwieser,Yuval Tassa,Jonas Buchli, Dan Belov

Bibtex

Critic Regularized Regression

Ziyu Wang,Alexander Novikov,Konrad Zolna,Josh Merel,Jost Tobias Springenberg,Scott Reed,Bobak Shahriari, Noah Siegel,Caglar Gulcehre,Nicolas Heess,Nando de Freitas

NeurIPS, (2020)

EIBibtex

Compositional Transfer in Hierarchical Reinforcement Learning

Markus Wulfmeier,Abbas Abdolmaleki,Roland Hafner,Jost Tobias Springenberg,Michael Neunert,Noah Siegel, Tim Hertweck,Thomas Lampe,Nicolas Heess,Martin Riedmiller

robotics science and systems, (2020)

Bibtex

Critic Regularized Regression

Ziyu Wang,Alexander Novikov, Konrad Żołna,Jost Tobias Springenberg,Scott Reed,Bobak Shahriari,Noah Siegel,Josh Merel,Caglar Gulcehre,Nicolas Heess,Nando de Freitas

Cited by2Bibtex

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 Mann,Martin Riedmiller

ICLR, (2020)

EIBibtex

Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning

Noah Siegel,Jost Tobias Springenberg,Felix Berkenkamp,Abbas Abdolmaleki,Michael Neunert, Thomas Lampe, Roland Hafner,Nicolas Heess,Martin Riedmiller

ICLR, (2020)

EIBibtex

Simple Sensor Intentions for Exploration

Hertweck Tim, Riedmiller Martin, Bloesch Michael,Springenberg Jost Tobias,Siegel Noah,Wulfmeier Markus, Hafner Roland,Heess Nicolas

Cited by1Bibtex

Regularized Hierarchical Policies for Compositional Transfer in Robotics

Markus Wulfmeier,Abbas Abdolmaleki,Roland Hafner,Jost Tobias Springenberg,Michael Neunert, Tim Hertweck, Thomas Lampe,Noah Siegel,Nicolas Heess,Martin A. Riedmiller

CoRR, (2019)

Cited by13EIBibtex

Quinoa: a Q-function You Infer Normalized Over Actions

Degrave Jonas,Abdolmaleki Abbas,Springenberg Jost Tobias,Heess Nicolas,Riedmiller Martin

Cited by1Bibtex

Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models

Byravan Arunkumar,Springenberg Jost Tobias,Abdolmaleki Abbas, Hafner Roland,Neunert Michael, Lampe Thomas,Siegel Noah,Heess Nicolas,Riedmiller Martin

CoRL, pp.566-589, (2019)

Cited by5EIBibtex

Robust Reinforcement Learning for Continuous Control with Model Misspecification

Daniel J. Mankowitz, Nir Levine, Rae Jeong,Abbas Abdolmaleki,Jost Tobias Springenberg,Timothy Mann,Todd Hester,Martin Riedmiller

Bibtex

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,Timothy A. Mann,Todd Hester,Martin A. Riedmiller

CoRR, (2019)

Cited by3EIBibtex

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

CoRL, pp.735-751, (2019)

Bibtex

Simultaneously Learning Vision and Feature-based Control Policies for Real-world Ball-in-a-Cup

Devin Schwab,Jost Tobias Springenberg,Murilo Fernandes Martins,Michael Neunert,Michael Neunert,Abbas Abdolmaleki, Tim Hertweck,Roland Hafner,Francesco Nori,Martin A. Riedmiller

Robotics - Science and Systems, (2019)

EIBibtex

Self-supervised Learning of Image Embedding for Continuous Control

Carlos Florensa, Jonas Degrave,Nicolas Heess,Jost Tobias Springenberg,Martin A. Riedmiller

arXiv: Learning, (2019)

Cited by17EIBibtex

Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models

Arunkumar Byravan,Jost Tobias Springenberg,Abbas Abdolmaleki, Roland Hafner,Michael Neunert, Thomas Lampe, Noah Y. Siegel,Nicolas Heess,Martin A. Riedmiller

CoRL, pp.566-589, (2019)

Bibtex

Learning by Playing - Solving Sparse Reward Tasks from Scratch

Martin Riedmiller, Roland Hafner, Thomas Lampe, Jonas Degrave,Michael Neunert,Jost Springenberg

international conference on machine learning, pp.4341-4350, (2018)

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