Publications

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Displaying results 231 to 240 of 514.

Daniel Tanneberg; Alexandros Paraschos; Jan Peters; Elmar Rueckert

Deep spiking networks for model-based planning in humanoids

In: 16th IEEE-RAS International Conference on Humanoid Robots. IEEE-RAS International Conference on Humanoid Robots (Humanoids-2016), November 15-17, …
Simone Parisi; Simon Ramstedt; Jan Peters

Goal-driven dimensionality reduction for reinforcement learning

In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems …
Hany Abdulsamad; Oleg Arenz; Jan Peters; Gerhard Neumann

State-Regularized Policy Search for Linearized Dynamical Systems

In: Laura Barbulescu; Jeremy Frank; Mausam; Stephen F. Smith (Hrsg.). Proceedings of the Twenty-Seventh International Conference on Automated Planning …
Riad Akrour; Davide Tateo; Jan Peters

Reinforcement Learning from a Mixture of Interpretable Experts

In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2006.05911, Pages 0-10, arXiv, 2020.
Andrea Cini; Carlo D'Eramo; Jan Peters; Cesare Alippi

Deep Reinforcement Learning with Weighted Q-Learning

In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2003.09280, Pages 0-10, arXiv, 2020.
Philip Becker-Ehmck; Maximilian Karl; Jan Peters; Patrick van der Smagt

Learning to Fly via Deep Model-Based Reinforcement Learning

In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2003.08876, Pages 0-10, arXiv, 2020.
Marcus Ebner von Eschenbach; Binyamin Manela; Jan Peters; Armin Biess

Metric-Based Imitation Learning Between Two Dissimilar Anthropomorphic Robotic Arms

In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2003.02638, Pages 0-10, arXiv, 2020.
Pascal Klink; Carlo D'Eramo; Jan Peters; Joni Pajarinen

Self-Paced Deep Reinforcement Learning

In: Hugo Larochelle; Marc'Aurelio Ranzato; Raia Hadsell; Maria-Florina Balcan; Hsuan-Tien Lin (Hrsg.). Advances in Neural Information Processing …
Melvin Laux; Oleg Arenz; Jan Peters; Joni Pajarinen

Deep Adversarial Reinforcement Learning for Object Disentangling

In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems …
Julen Urain; Michele Ginesi; Davide Tateo; Jan Peters

ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows

In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems …

Publications

Year

Deep spiking networks for model-based planning in humanoids

Goal-driven dimensionality reduction for reinforcement learning

State-Regularized Policy Search for Linearized Dynamical Systems

Reinforcement Learning from a Mixture of Interpretable Experts

Deep Reinforcement Learning with Weighted Q-Learning

Learning to Fly via Deep Model-Based Reinforcement Learning

Metric-Based Imitation Learning Between Two Dissimilar Anthropomorphic Robotic Arms

Self-Paced Deep Reinforcement Learning

Deep Adversarial Reinforcement Learning for Object Disentangling

ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows

Year