Completed
– Training protocol I
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Classroom Contents
The Truck Backer-Upper
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- 1 – Welcome to class
- 2 – Action plan
- 3 – State transition equations recap
- 4 – The Truck Backer-Upper
- 5 – Vehicle configuration
- 6 – Implementation in a Jupyter Notebook
- 7 – Manual parking tests
- 8 – Training: a two-stage learning process
- 9 – State update equations for a trailer truck
- 10 – Emulator training strategy
- 11 – Training protocol I
- 12 – Control as RNN again
- 13 – Training protocol II
- 14 – Unrolling in time AKA BPTT
- 15 – Successful controller's trajectories
- 16 – Additional resources
- 17 – PyTorch partial implementation
- 18 – Bayesian neural nets
- 19 – Dropout
- 20 – Uncertainty for a regressor demo
- 21 – And that was it :D
