Model-based imitation learning by probabilistic trajectory matching. - Peter Englert; Alexandros Paraschos; Jan Peters 001; Marc Peter Deisenroth (ICRA, 2013)

Probabilistic model-based imitation learning. - Peter Englert; Alexandros Paraschos; Marc Peter Deisenroth; Jan Peters 001 (Adapt. Behav., 2013)

Multi-Task Policy Search. - Marc Peter Deisenroth; Peter Englert; Jan Peters 001; Dieter Fox (CoRR, 2013)

Multi-task policy search for robotics. - Marc Peter Deisenroth; Peter Englert; Jan Peters 001; Dieter Fox (ICRA, 2014)

Reactive phase and task space adaptation for robust motion execution. - Peter Englert; Marc Toussaint (IROS, 2014)

Dual execution of optimized contact interaction trajectories. - Marc Toussaint; Nathan D. Ratliff; Jeannette Bohg; Ludovic Righetti; Peter Englert; Stefan Schaal (IROS, 2014)

Sparse Gaussian process regression for compliant, real-time robot control. - Jens Schreiter; Peter Englert; Duy Nguyen-Tuong; Marc Toussaint (ICRA, 2015)

Inverse KKT - Learning Cost Functions of Manipulation Tasks from Demonstrations. - Peter Englert; Marc Toussaint (ISRR (2), 2015)

Policy Search in Reproducing Kernel Hilbert Space. - Ngo Anh Vien; Peter Englert; Marc Toussaint (IJCAI, 2016)

Combined Optimization and Reinforcement Learning for Manipulation Skills. - Peter Englert; Marc Toussaint (Robotics: Science and Systems, 2016)

Constrained Bayesian optimization of combined interaction force/task space controllers for manipulations. - Danny Drieß; Peter Englert; Marc Toussaint (ICRA, 2017)

Active learning with query paths for tactile object shape exploration. - Danny Drieß; Peter Englert; Marc Toussaint (IROS, 2017)

Identification of Unmodeled Objects from Symbolic Descriptions. - Andrea Baisero; Stefan Otte; Peter Englert; Marc Toussaint (CoRR, 2017)

Inverse KKT: Learning cost functions of manipulation tasks from demonstrations. - Peter Englert; Ngo Anh Vien; Marc Toussaint (Int. J. Robotics Res., 2017)

Kinematic Morphing Networks for Manipulation Skill Transfer. - Peter Englert; Marc Toussaint (IROS, 2018)

Learning manipulation skills from a single demonstration. - Peter Englert; Marc Toussaint (Int. J. Robotics Res., 2018)

Learning Equality Constraints for Motion Planning on Manifolds. - Giovanni Sutanto; Isabel M. Rayas Fernández; Peter Englert; Ragesh Kumar Ramachandran; Gaurav S. Sukhatme (CoRL, 2020)

Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments. - Jun Yamada; Youngwoon Lee; Gautam Salhotra; Karl Pertsch; Max Pflueger; Gaurav S. Sukhatme; Joseph J. Lim; Peter Englert (CoRL, 2020)

Sampling-Based Motion Planning on Manifold Sequences. - Peter Englert; Isabel M. Rayas Fernández; Ragesh K. Ramachandran; Gaurav S. Sukhatme (CoRR, 2020)

Learning Manifolds for Sequential Motion Planning. - Isabel M. Rayas Fernández; Giovanni Sutanto; Peter Englert; Ragesh K. Ramachandran; Gaurav S. Sukhatme (CoRR, 2020)

Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation. - I-Chun Arthur Liu; Shagun Uppal; Gaurav S. Sukhatme; Joseph J. Lim; Peter Englert; Youngwoon Lee (CoRL, 2021)

Sampling-Based Motion Planning on Sequenced Manifolds. - Peter Englert; Isabel M. Rayas Fernández; Ragesh Kumar Ramachandran; Gaurav S. Sukhatme (Robotics: Science and Systems, 2021)

Pathfinder Discovery Networks for Neural Message Passing. - Benedek Rozemberczki; Peter Englert; Amol Kapoor; Martin Blais; Bryan Perozzi (WWW, 2021)