| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction Python installation PID revision | |||
| 1 - Introduction.mp4 | 3.5 MB | ||
| 2 - Code explanation Backpropagation Qlearning | |||
| 3 - PID tuning with the TD3 Reinforcement Learning algorithm Coming Soon | |||
| 10 - Main loop some results.mp4 | 139.2 MB | ||
| 11 - Mathematics of a speed bump.mp4 | 41.5 MB | ||
| 12 - Environment class.mp4 | 72 MB | ||
| 13 - Neural Networks classes.mp4 | 82 MB | ||
| 14 - Replay Buffer TD3 class 1.mp4 | 72.3 MB | ||
| 15 - TD3 class 2 training method.mp4 | 118.7 MB | ||
| 16 - Deployment.mp4 | 39.9 MB | ||
| 17 - PID-4DOF-sim.py | 19.4 KB | ||
| 17 - PID-tuning-TD3-training.py | 28.1 KB | ||
| 17 - Python codes TD3 training deployment.html | 102.4 B | ||
| 8 - General overview of the code 1.mp4 | 111.9 MB | ||
| 9 - General overview of the code 2.mp4 | 106.6 MB | ||
| result | |||
| PID_tuning_TD3.mp4 | 549.1 KB | ||
| PID_tuning_TD3_no_controller.mp4 | 605.5 KB | ||
| f1_vs_f2.png | 71.5 KB | ||
| pid_gains_500_eps.png | 78.3 KB | ||
| td3_model_checkpoint.pth | 1.3 MB | ||
| x_b_dot_vs_theta_b_dot.png | 118.7 KB | ||
| x_b_vs_theta_b.png | 122.1 KB | ||
| 5 - Explanation of Backpropagation in Neural Networks.mp4 | 79.1 MB | ||
| 6 - Explanation of Qlearning in a grid world.mp4 | 48.9 MB | ||
| 7 - Python codes Backpropagation Qlearning.html | 102.4 B | ||
| 7 - neural-networks.py | 2.3 KB | ||
| 7 - q-learning.py | 4 KB | ||
| 2 - Installation of Python its libraries Windows 11.mp4 | 53.4 MB | ||
| 3 - Installation of PyTorch Windows 11.html | 819.2 B | ||
| 4 - Revision of PID.mp4 | 62.4 MB |
Vehicle Suspension Control 4: PID tuning with AI - TD3
https://WebToolTip.com
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.01 GB | Duration: 2h 19m
Master PID Tuning for Vehicle Suspension Control with State-of-the-Art TD3 Reinforcement Learning Algorithm in Python
What you'll learn
Get intuition in Backpropagation in Neural Networks
Apply Q-learning in Python in a simple grid-world.
Apply TD3 Reinforcement algorithm to suspension control
Get familiar with the PyTorch library
Requirements
Basics in Python
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
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Udemy - Vehicle suspension control 3 - PID + LQR + Resonance analysis Posted by
freecoursewb in Other
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3.6 GB | freecoursewb | 1 year | 0 | 0 |
|
Udemy - Vehicle Suspension Control 2 - Modal Analysis + Pole Placement Posted by
freecoursewb in Other
|
2.8 GB | freecoursewb | 1 year | 0 | 0 |
| 3.3 GB | freecoursewb | 1 year | 0 | 1 |
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