Teknologiseminar
From Robin
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~12:20-12:35 Presentation on: Technology / Own Research / Journal review (see [http://robin.wiki.ifi.uio.no/Journal_Review guidelines]), time excludes discussion | ~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 - | + | === Dates and subjects - Spring 2022 – Thursdays 12:00-12:45 === |
- | '''5-20 min housekeeping/updates + 15 min talk | + | '''5-20 min housekeeping/updates + 15 min talk ''' |
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|'''When''' || '''What'''|| '''Who''' | |'''When''' || '''What'''|| '''Who''' | ||
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- | | | + | | 27.01 || Introductions, news || |
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- | | | + | | 03.02 || Vegard || Computational resources |
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- | | | + | | 10.02 || (Yngve) || |
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- | | | + | | 17.02 || || |
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- | | | + | | 24.02 || || |
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- | | | + | | 24.02 || || |
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[[PreviousSeminars|Overview of earlier seminars]] | [[PreviousSeminars|Overview of earlier seminars]] |
Revision as of 10:46, 11 January 2022
Meeting structure
Place: ROBIN pause area, 4th floor Ole-Johan Dahls hus / 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 guidelines), time excludes discussion
Dates and subjects - Spring 2022 – Thursdays 12:00-12:45
5-20 min housekeeping/updates + 15 min talk
When | What | Who |
27.01 | Introductions, news | |
03.02 | Vegard | Computational resources |
10.02 | (Yngve) | |
17.02 | ||
24.02 | ||
24.02 |
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