Understanding Pac Bayes Control For Obstacle Avoidance
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Key Takeaways about Pac Bayes Control For Obstacle Avoidance
- Speakers: Andrew Foong, David Burt, Javier Antoran Abstract:
- The goal of machine learning algorithms is to produce predictors having the smallest possible risk (expected loss). Since the ...
- Video for the paper "
- Slides: https://1five9.github.io/slides/learning/11.pdf.
- PAC bayes
Detailed Analysis of Pac Bayes Control For Obstacle Avoidance
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Talk by Pascal Germain at NIPS 2012 Workshop Multi-trade-off in Machine Learning.
In summary, understanding Pac Bayes Control For Obstacle Avoidance gives us a better perspective.