Vehicle Suspension Control 4 - PID tuning with AI - TD3
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size1 GB
- Uploaded Byfreecoursewb
- Downloads21
- Last checkedApr. 10th '26
- Date uploadedApr. 10th '26
- Seeders 1
- Leechers14
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
Files:
[ WebToolTip.com ] Vehicle Suspension Control 4 - PID tuning with AI - TD3- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Introduction Python installation PID revision
- 1 - Introduction.mp4 (3.5 MB)
- 2 - Installation of Python its libraries Windows 11.mp4 (53.4 MB)
- 3 - Installation of PyTorch Windows 11.html (0.8 KB)
- 4 - Revision of PID.mp4 (62.4 MB)
- 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 (0.1 KB)
- 7 - neural-networks.py (2.3 KB)
- 7 - q-learning.py (4.0 KB)
- 10 - Main loop some results.mp4 (139.2 MB)
- 11 - Mathematics of a speed bump.mp4 (41.5 MB)
- 12 - Environment class.mp4 (72.0 MB)
- 13 - Neural Networks classes.mp4 (82.0 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 (0.1 KB)
- 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)
- Bonus Resources.txt (0.1 KB)
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