Publications (33)
Was ist eine Professur fuer Kuenstliche Intelligenz?
Kristian Kersting, Jan Peters, Constantin Rothkopf
Participatory Patterns in an International Air Quality Monitoring Initiative
Alina Sîrbu, Martin Becker, Saverio Caminiti +17
Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks
Daniel Tanneberg, Jan Peters, Elmar Rueckert
Optimizing Execution of Dynamic Goal-Directed Robot Movements with Learning Control
Okan Koc, Guilherme Maeda, Jan Peters
Compatible Natural Gradient Policy Search
Joni Pajarinen, Hong Linh Thai, Riad Akrour +2
Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics
Onur Celik, Hany Abdulsamad, Jan Peters
Information Gathering in Decentralized POMDPs by Policy Graph Improvement
Mikko Lauri, Joni Pajarinen, Jan Peters
Policy Search with High-Dimensional Context Variables
Voot Tangkaratt, Herke van Hoof, Simone Parisi +3
Model-Free Trajectory-based Policy Optimization with Monotonic Improvement
Riad Akrour, Abbas Abdolmaleki, Hany Abdulsamad +2
Learning to serve: an experimental study for a new learning from demonstrations framework
Okan Koc, Jan Peters
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos
Paavo Parmas, Carl Edward Rasmussen, Jan Peters +1
Entropic Regularization of Markov Decision Processes
Boris Belousov, Jan Peters
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning
Michael Lutter, Christian Ritter, Jan Peters
Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations
Elmar Rueckert, Rudolf Lioutikov, Roberto Calandra +3
f-Divergence constrained policy improvement
Boris Belousov, Jan Peters
Can Modular Finger Control for In-Hand Object Stabilization be accomplished by Independent Tactile Feedback Control Laws?
Filipe Veiga, Jan Peters
Learning walk and trot from the same objective using different types of exploration
Zinan Liu, Kai Ploeger, Svenja Stark +2
PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off
Yevgeny Seldin, Nicolò Cesa-Bianchi, François Laviolette +3
In-Hand Object Stabilization by Independent Finger Control
Filipe Veiga, Benoni B. Edin, Jan Peters
Hybrid control trajectory optimization under uncertainty
Joni Pajarinen, Ville Kyrki, Michael Koval +3
PAC-Bayesian Analysis of Martingales and Multiarmed Bandits
Yevgeny Seldin, François Laviolette, John Shawe-Taylor +2
Generalized Multiple Correlation Coefficient as a Similarity Measurements between Trajectories
Julen Urain, Jan Peters
TD-Regularized Actor-Critic Methods
Simone Parisi, Voot Tangkaratt, Jan Peters +1
Learning Prioritized Control of Motor Primitives
Jens Kober, Jan Peters
Neural Signatures of Motor Skill in the Resting Brain
Ozan Ãzdenizci, Timm Meyer, Felix Wichmann +4
An Algorithmic Perspective on Imitation Learning
Takayuki Osa, Joni Pajarinen, Gerhard Neumann +3
Multi-Task Policy Search
Marc Peter Deisenroth, Peter Englert, Jan Peters +1
Towards engagement models that consider individual factors in HRI: on the relation of extroversion and negative attitude towards robots to gaze and speech during a human-robot assembly task
Serena Ivaldi, Sebastien Lefort, Jan Peters +3
Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems
Michael Lutter, Kim Listmann, Jan Peters
The paper introduces Deep Lagrangian Networks extended to enforce energy conservation and passivity, enabling end‑to‑end learning of energy‑based control for under‑actuated robots,…
Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction
Susanne Trick, Dorothea Koert, Jan Peters +1
Switching Linear Dynamics for Variational Bayes Filtering
Philip Becker-Ehmck, Jan Peters, Patrick van der Smagt
Manifold Gaussian Processes for Regression
Roberto Calandra, Jan Peters, Carl Edward Rasmussen +1
Local Online Motor Babbling: Learning Motor Abundance of A Musculoskeletal Robot Arm
Zinan Liu, Arne Hitzmann, Shuhei Ikemoto +3