![Peter Vamplew](images/display/pvamplew.jpg)
Peter Vamplew School of Engineering, Information Technology and Physical SciencesFederation University Multiobjective Approaches to Human-Aligned Reinforcement Learning11.00 CEST
![Cornelius Weber](images/display/cweber.jpg)
Cornelius Weber Knowledge Technology InstituteUniversitat Hamburg Hybrid Neural Learning for Interactive Robots11.30 CEST
![Benjamin Rosman](images/display/brosman.jpg)
Benjamin Rosman
School of Computer Science and Applied Mathematics
University of the Witwatersrand
Modelling Imprecise Human Collaborators12.00 CEST
![Jens Kober](images/display/jkober.jpg)
Jens Kober
Cognitive Robotics Dept
Delft University of Technology
Reinforcement Learning with Interactive Corrections12.30 CEST
![Richard Dazeley](images/display/rdazeley.jpg)
Richard Dazeley
Machine Intelligence Lab
Deakin University
Broad-XAI: Human-aligned conversational explanations13.30 CEST
![Alessandra Sciutti](images/display/asciutti.jpg)
Alessandra Sciutti Cognitive Architecture for Collaborative Technologies unitIstituto Italiano di Tecnologia More Humane Learning14.00 CEST
![Bruno Fernandes](images/display/bfernandes.jpg)
Bruno Fernandes
Computer Engineering Dept
University of Pernambuco
Reinforcement Learning for Robot Control and Interaction14.30 CEST
![Matthew Taylor](images/display/mtaylor.jpg)
Matthew Taylor Intelligent Robot Learning LaboratoryUniversity of Alberta Agents learning from humans -- what the heck do you want me to do?15.00 CEST
![George Konidaris](images/display/gkonidaris.jpg)
George Konidaris
Intelligent Robot Lab
Brown University
Grounded Symbolic Representations for Human-Robot Communication16.00 CEST
![W. Bradley Knox](images/display/wbknox.jpg)
W. Bradley Knox Robert Bosch LLC, Austin, Texas Reward (Mis)design for Autonomous Driving16.30 CEST
![Patrick Pilarski](images/display/ppilarski.jpg)
Patrick Pilarski
Bionic Limbs for Improved Natural Control Laboratory
University of Alberta
DeepMind, Edmonton, Alberta
Constructivism in Tightly Coupled Human Machine Interfaces17.00 CEST
![Felipe Leno da Silva](images/display/fleno.png)
Felipe Leno da Silva Lawrence Livermore National Lab Action Advising for Accelerating Multiagent Reinforcement Learning17.30 CEST