Publications

Recent work (PhD research line)

Moerland TM. Efficient Exploration with Uncertain Value Networks. Delft Workshop on Robot Learning. 2017. (PDF)

Moerland TM, Broekens J, Jonker CM. Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning. Scaling Up Reinforcement Learning (SURL) Workshop @ European Conference on Machine Learning (ECML). 2017. (PDF) (Code) (Slides)

 

Pre-prints

Wolfslag WJ, Bharatheesha M, Moerland TM, Wisse M. RRT-CoLearn: towards kinodynamic planning without numerical trajectory optimization.  (PDF)

 

Journal

Moerland TM, Broekens J, Jonker CM. Emotion in Reinforcement Learning Agents and Robots: A Survey.  Machine Learning. 2017. (PDF)

Janmaat VT, Kortekaas KE, Moerland TM, Vereijken MWC, Schoones JW, Hylckama Vlieg A, Dekker FW. Research-Tutored Learning: An Effective Way for Students to Benefit Research by Critical Appraisal. Medical Science Educator. 2013. (PDF)

 

Conference

Moerland TM, Broekens J, Jonker CM. Fear and Hope Emerge From Anticipation in Model-Based Reinforcement Learning.  International Joint Conference on Artificial Intelligence (IJCAI). 2016. (PDF)

Moerland TM, Chandarr A, Rudinac M and Jonker P. Knowing What You Don’t Know: Novelty Detection for Action Recognition in Personal Robots.  VISAPP. 2016. (PDF)

 

Abstracts / Misc

Bharatheesha M, Wolfslag W, Moerland TM. A dataset bias problem for learning-RRT, with two potential solutions. Delft Workshop on Robot Learning. 2017. (PDF)

Moerland TM. Nieuwheidsdetectie voor Activiteit Herkenning door Robots. STAtOR. 2017. (PDF) (Dutch)

Wolfslag WJ, Bharatheesa M, Moerland TM, Wisse M. Learning indirect optimal control for dynamic motion planning with RRT.  Dynamic Walking. 2017. (PDF)

Moerland TM, Broekens J, Jonker CM. Hope and Fear in Reinforcement Learning Agents: Extended Abstract. Benelux Conference on Artificial Intelligence (BNAIC). 2016. (PDF)