Completed
- Forward passes and losses
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Classroom Contents
Training Neural Networks for Temporal Difference Model Predictive Control - Part 2
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- 1 - Listing the neural networks we need to train
- 2 - What a training batch item looks like
- 3 - Forward passes and losses
- 4 - Why the latent state representation does not collapse
- 5 - Understanding TD Learning
- 6 - TD learning intuition in real experiments
- 7 - Optimizing the Q network using the TD error
- 8 - Offline vs online data collection and training loop
- 9 - Wrapping up
