Academic year 2017/2018

Academic year 2016/2017

Academic year 2015/2016

Academic year 2014/2015

MSc projects


see Open positions


Bart Keulen “Deep Reinforcement Learning for Human-Like Walking”
Mentors: Jerry Pratt (IHMC), Jens Kober (TU Delft)

Robert Koning “Recommender Systems for Casual Games”
Mentors: Casper van Wezel (Poki), Jens Kober (TU Delft)


Wuyang Duan “Learning State Representations for Robotic Control - Information Disentangling and Multi-modal Learning”
Mentor: Jens Kober (TU Delft)

Jovana Radojevic “Cooperative Visual Object Learning”
Mentors: Lydia Fischer (HRIeu), Heiko Wersing (HRIeu), Stephan Hasler (HRIeu), Jens Kober (TU Delft)

Divyam Rastogi “Deep Reinforcement Learning for Bipedal Robots”
Mentors: Ivan Koryakovskiy (TU Delft), Jens Kober (TU Delft)

Nikol Guljelmovic “Task Parameter Inference in Human-Robot Interaction”
Mentors: Martijn Zeestraten (IIT), Sylvain Calinon (IIT), Jens Kober (TU Delft), Pieter Jonker (TU Delft)

Siddharth Ravi “Reinforcement Learning Across Timescales”
Mentors: Tim de Bruin (TU Delft), Jens Kober (TU Delft)

Ronald Olsthoorn “Segmented Active Reward Learning”
Mentors: Jens Kober (TU Delft), Robert Babuška (TU Delft)

Yannick Kathmann “Multi-Sensor Human Detection on an Intelligent Security Robot - A study on combining vision and laser scan data”
Mentors: Jochem Verboom (RSS), Eelko van Breda (RSS), Floris Gaisser (TU Delft), Jens Kober (TU Delft), Pieter Jonker (TU Delft)

Niels Marck “Semi-parametric Identification of Manipulator Dynamics in a Time-varying Environment”
Mentor: Jens Kober (TU Delft)

Derk Mus “Generating Robotic Manipulation Trajectories with Neural Networks”
Mentors: Zoltán Szlávik (IBM), Robert-Jan Sips (IBM), Jens Kober (TU Delft)

Xiang Zhang “Learning Control Policies for Tooth Extraction - An Application of Programming by Demonstration”
Mentors: Jens Kober (TU Delft), Tom van Riet (AMC)

Victor van Spaandonk “Learning Variable Impedance Control: A Model-Based Approach Using Gaussian Processes”
Mentor: Jens Kober (TU Delft)

Renée van der Wijden “Preference-driven Demonstration Ranking for Inverse Reinforcement Learning”
Mentors: Corrado Grappiolo (Alten), Chris Kalis (Alten), Jens Kober (TU Delft), Ivan Koryakovskiy (TU Delft), Martijn Wisse (TU Delft)

Jelle Munk “Deep Reinforcement Learning - Pretraining actor-critic networks using state representation learning”
Mentors: Jens Kober (TU Delft), Robert Babuška (TU Delft)

Denise Feirstein “Reinforcement Learning of Potential Fields to achieve Limit-Cycle Walking”
Mentors: Heike Vallery (TU Delft), Ivan Koryakovskiy (TU Delft), Jens Kober (TU Delft)

Jihong Zhu “Real-time Collision Avoidance for Robot Manipulators by Braking Trajectory Prediction”
Mentors: Nico Mansfeld (DLR), Jens Kober (TU Delft)

Tamis van der Laan “Consolidated Deep Actor Critic Networks”
Mentors: Marco Loog (TU Delft), Jens Kober (TU Delft)