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MICRO-515
14 March 2024
Lecture: Neural Networks basics
Lecture: Neural Networks basics
Click
3.NeuralNetworks_Basics_3h.pdf
link to view the file.
◄ Recording: Multi-objective optimization
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Statistics refresher
News forum
Q&A Forum
Lecture: Introduction to the course
Info about DLL trainings
Lecture: Evolutionary Computation
Recording: Introduction to the course
Recording: Evolutionary Computation
Check Points: Evolutionary Computation
Lecture: Evolutionary Strategies
Recording: Evolutionary Strategies
Check Points: Evolutionary Strategies
Exercise: GA and ES
Exercise: GA and ES Solutions
Correction slide 11, Evolutionary Strategies
Lecture: Multi-objective Optimization
Check Points: Multi-objective optimization
Exercise: NSGA-II
Exercise: NSGA-II Solutions
Articles on Multi-objective optimization: NSGA, NSGA-II, ViE
Recording: Multi-objective optimization
Check Points: Neural Networks basics
Recording: Neural Networks basics
Lecture: Deep, Convolutional, RL neural networks
Check Points: Deep, Convolutional, RL neural networks
Recording: Deep, Convolutional, RL neural networks
Article: Learning to Drive with Policy Gradient
Article: How to Train Robots with RL
Lecture: Evolution of neurocontrollers
Lecture: Evolution and learning
Recording: Evolution of neurocontroller
Recording: Evolution and Learning
Check points: Evolution of neurocontrollers
Check points: Evolution and learning
Article: Evolution AND Learning
Article: Evolution OF Learning
Exercise: RoboGen Introduction
Recording: RoboGen Introduction
Exercise: RoboGen Brain Evolution
Exercise: RoboGen Brain Evolution
Exercise: RoboGen Scenario Tutorial
Exercise: Plotting Script
Project: Project Groups
Lecture: Morphologies
Check Points: Morphologies
Recording: Morphologies
Exercise: RoboGen Body Encoding
Exercise: RoboGen Body Encoding
Exercise: Inside RoboGen
Info: trainings
Exercise: RoboGen Body-Brain Co-Evolution 1
Exercise: RoboGen Body-Brain Co-Evolution 1
Exercise: RoboGen Body-Brain Co-Evolution 2
Exercise: RoboGen Body-Brain Co-Evolution 2
Check Points: Neural Networks basics ►
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