Vis kildekode

=== Meeting structure ===
Place: ROBIN pause area, 4th floor Ole-Johan Dahls hus / [http://gather.town gather town]

12:00-12:15 Brief exchange of recent news, plans, updates, etc.

~12:20-12:35 Presentation on: Technology / Own Research / Journal review (see [http://robin.wiki.ifi.uio.no/Journal_Review guidelines]), time excludes discussion

=== Dates and subjects - Spring 2022 – Thursdays 12:00-12:45 === 
'''5-20 min housekeeping/updates + 15 min talk '''
{| class="wikitable"
|-
|'''When''' || '''What'''||  '''Who'''   
|- 
|  20.01 || Introductions, news || 
|- 
|  27.01 || Vegard || Computational resources 
|- 
|  03.02 ||  || 
|- 
|  10.02 ||  || 
|- 
|  17.02 ||  || 
|- 
|  24.02 ||  || 
|- 
|}

=== Dates and subjects - Autumn 2021 – Thursdays 12:00-12:45 === 
'''5-20 min housekeeping/updates + 15 min talk (casual meetings = round-table)'''
{| class="wikitable"
|-
|'''When''' || '''What'''||  '''Who'''   
|- 
|  02.01 || Introductions, news || 
|- 
|  09.09 || (tour de RITMO day) || 
|- 
|  16.09 ||  Casual lunch meeting || Bring your own lunch
|- 
|  23.09 ||  Title of presentation?? || Marieke 
|- 
|  30.09 || Casual lunch meeting ||  Bring your own lunch
|- 
|  07.10 ||  Title of presentation?? || Mojtaba
|- 
|  14.10 ||  --- || --- 
|- 
|  21.10 || Casual lunch meeting ||  Bring your own lunch
|- 
|  28.10 ||  Offline Reinforcement Learning || Ulysse
|- 
|  04.11 ||  Unity Machine Learning Agents for Evolutionary Robotics || Frank 
|- 
|  11.11 || Casual lunch meeting ||  Bring your own lunch
|- 
|  18.11 ||  Emotion and mood recognition with speech || Minh  
|- 
|  25.11 ||  Design, Kinematic Modeling, and Validation of a Robotic-Assisted Transesophageal Echocardiography System || Reza
|- 
| 02.12 ||  Casual lunch meeting ||  Bring your own lunch
|- 
| 09.12 ||  Title of presentation?? || Kyrre  
|- 
|  16.12 ||  Title of presentation?? || Katrine (remove this note to confirm)
|- 
|  To be continued || in January ||  (remove this note to confirm) 
|}

[[PreviousSeminars|Overview of earlier seminars]]

=== Examples of interesting topics for technology introduction ===
Feel free to add topics to the wishlist!

* Robotics
** Reinforcement learning for robotics
** SLAM
** embodied cognition
** Swarm

* Neural networks
** Recursive NNs and LSTMs
** NEAT / HyperNEAT
** Deep NNs

* Evolutionary algorithms and other types of optimization
** Performance comparison of EAs (statistical tests)
** Differential evolution
** Diversity preservation methods
** Novelty search, MAP-Elites and variants
** Bayesian optimization

* Tools
** SLURM
** R
** Python as alternative to R, incl. matplotlib
** ROS
** Deep learning frameworks and practice
** Unity ML agents