Programme: (9.00 – 18.00)
Morning
9:00 Coffee and welcome
9:15 Invited speaker: Sylvain Calinon
10:00 Flash talks: abstracts 1,3-6
10:30 Invited speaker: Frans Oliehoek
11:15 Coffee and poster session 1
12:00 Lunch
Afternoon
13:00 Invited speaker: Guszti Eiben
13:45 Flash talks: abstracts 2,7-11
14:30 Invited speaker: Sven Behnke
15:15 Coffee and poster session 2
15:55 Wrap-up for discussion topics
16:00 Discussion session 1 (possibly 2 parallel sessions on two different topics)
16:45 Discussion session 2 (possibly 2 parallel sessions on two different topics)
17:30 Closing and reception
Evening
19:00 Dinner (optional, at own cost)
Restaurant: 't Postkantoor, in Delft city centre, walking distance from both the workshop venue and the Delft train station
List of Abstracts
1. Turing Learning with Nash Memory. Shuai Wang.
2. Integrating State Representation Learning into Deep Reinforcement Learning. Tim de Bruin.
3. Efficient Exploration with Deep Uncertain Value Networks. Thomas Moerland.
4. Towards Safer Learning in the Real World. Ivan Koryakovskiy, Heike Vallery and Robert Babuška.
5. Hierarchical Reinforcement Learning for Robots in POMDPs with Option-Observation Initiation Sets. Denis Steckelmacher, Hélène Plisnier, Diederik M. Roijers and Ann Nowé.
6. Benchmarking Recurrent Networks for Robust Continuous Control. Matthijs Snel.
7. Learning Robots to Rescue. Arnoud Visser.
8. A dataset bias problem for learning-RRT, with two potential solutions. Wouter Wolfslag and Mukunda Bharatheesha, Thomas Moerland.
9. Motion control as a result of prediction error minimization. Martijn Wisse.
10. RoboTeam Twente. Ewoud Croll.
11. Social Learning in the DREAM Project. Julien Hubert, Jacqueline Heinerman, Evert Haasdijk and Guszti Eiben.
Download: abstracts.zip
The zip file is password protected by the word dwrl2017