| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Part 1 Fundamentals | |||
| 1 - Welcome.mp4 | 190.1 MB | ||
| 10 - Extra Rl Algorithms Map.html | 1.1 KB | ||
| 11 - Get The Materials.html | 307.2 B | ||
| 12 - Prizes For Learning.html | 307.2 B | ||
| 2 - Part 2 Twin Delayed Ddpg Theory | |||
| 13 - Introduction And Initialization.mp4 | 82.8 MB | ||
| 14 - The Qlearning Part.mp4 | 136.2 MB | ||
| 15 - The Policy Learning Part.mp4 | 268.8 MB | ||
| 16 - The Whole Training Process.mp4 | 21.6 MB | ||
| 3 - Part 3 Twin Delayed Ddpg Implementation | |||
| 17 - The Whole Code Folder Of The Course With All The Implementations.html | 716.8 B | ||
| 17 - The Whole Code Folder.txt | 0 B | ||
| 18 - Beginning.mp4 | 20 MB | ||
| 19 - Implementation Step 1.mp4 | 76.4 MB | ||
| 20 - Implementation Step 2.mp4 | 202.4 MB | ||
| 21 - Implementation Step 3.mp4 | 136.2 MB | ||
| 22 - Implementation Step 4.mp4 | 195 MB | ||
| 23 - Implementation Step 5.mp4 | 55.7 MB | ||
| 24 - Implementation Step 6.mp4 | 106.3 MB | ||
| 25 - Implementation Step 7.mp4 | 28.7 MB | ||
| 26 - Implementation Step 8.mp4 | 84 MB | ||
| 27 - Implementation Step 9.mp4 | 32.8 MB | ||
| 28 - Implementation Step 10.mp4 | 28.1 MB | ||
| 29 - Implementation Step 11.mp4 | 63.2 MB | ||
| 30 - Implementation Step 12.mp4 | 33.7 MB | ||
| 31 - Implementation Step 13.mp4 | 47.3 MB | ||
| 32 - Implementation Step 14.mp4 | 51.3 MB | ||
| 33 - Implementation Step 15.mp4 | 179.8 MB | ||
| 34 - Implementation Step 16.mp4 | 78.3 MB | ||
| 35 - Implementation Step 17.mp4 | 79.2 MB | ||
| 36 - Implementation Step 18.mp4 | 156.4 MB | ||
| 37 - Implementation Step 19.mp4 | 98.9 MB | ||
| 38 - Implementation Step 20.mp4 | 66.7 MB | ||
| 4 - The Final Demo | |||
| 39 - Demo Training.mp4 | 187.4 MB | ||
| 40 - Demo Inference.mp4 | 124.5 MB | ||
| 5 - Annex 1 Artificial Neural Networks | |||
| 41 - Plan Of Attack.mp4 | 6.9 MB | ||
| 42 - The Neuron.mp4 | 64 MB | ||
| 43 - The Activation Function.mp4 | 24.5 MB | ||
| 44 - How Do Neural Networks Work.mp4 | 50.5 MB | ||
| 45 - How Do Neural Networks Learn.mp4 | 67.1 MB | ||
| 46 - Gradient Descent.mp4 | 38.8 MB | ||
| 47 - Stochastic Gradient Descent.mp4 | 35.1 MB | ||
| 48 - Backpropagation.mp4 | 32.8 MB | ||
| 6 - Annex 2 Qlearning | |||
| 49 - Plan Of Attack.mp4 | 9.7 MB | ||
| 50 - What Is Reinforcement Learning.mp4 | 34 MB | ||
| 51 - The Bellman Equation.mp4 | 65.7 MB | ||
| 52 - The Plan.mp4 | 11.6 MB | ||
| 53 - Markov Decision Process.mp4 | 65.4 MB | ||
| 54 - Policy Vs Plan.mp4 | 36.7 MB | ||
| 55 - Living Penalty.mp4 | 62.9 MB | ||
| 56 - Qlearning Intuition.mp4 | 40.3 MB | ||
| 57 - Temporal Difference.mp4 | 49.8 MB | ||
| 58 - Qlearning Visualization.mp4 | 81.1 MB | ||
| 7 - Annex 3 Deep Qlearning | |||
| 59 - Plan Of Attack.mp4 | 5 MB | ||
| 60 - Deep Qlearning Intuition Step 1.mp4 | 53.5 MB | ||
| 61 - Deep Qlearning Intuition Step 2.mp4 | 22.9 MB | ||
| 62 - Experience Replay.mp4 | 59.4 MB | ||
| 63 - Action Selection Policies.mp4 | 91.6 MB | ||
| 8 - Congratulations Dont Forget Your Prize | |||
| 64 - Huge Congrats For Completing The Challenge.html | 4 KB | ||
| 65 - Bonus Lecture.html | 1.8 KB | ||
| 2 - Some Resources Before We Start.html | 1 KB | ||
| 3 - Extra Learning Path.html | 1.3 KB | ||
| 4 - Qlearning.mp4 | 52.6 MB | ||
| 5 - Deep Qlearning.mp4 | 34.8 MB | ||
| 6 - Policy Gradient.mp4 | 32.2 MB | ||
| 7 - Actorcritic.mp4 | 25 MB | ||
| 8 - Taxonomy Of Ai Models.mp4 | 28.9 MB | ||
| 9 - Extra 5 Advantages Of Drl.html | 1.5 KB |
Artificial Intelligence 2.0: AI, Python, DRL + ChatGPT Prize
https://WebToolTip.com
Last updated 5/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.92 GB | Duration: 9h 41m
Build an AI powerful enough to train an ant / spider and half-humanoid to walk and run across a field with the TD3 model
What you'll learn
Q-Learning
Deep Q-Learning
Policy Gradient
Actor Critic
Deep Deterministic Policy Gradient (DDPG)
Twin-Delayed DDPG (TD3)
The Foundation Techniques of Deep Reinforcement Learning
How to implement a state of the art AI model that is over performing the most challenging virtual applications
Requirements
Some maths basics like knowing what is a differentiation or a gradient
A bit of programming knowledge (classes and objects)
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 2 GB | freecoursewb | 4 days | 27 | 34 | |
| 1.9 GB | freecoursewb | 2 weeks | 5 | 3 | |
| 2 GB | freecoursewb | 1 month | 15 | 8 | |
| 1.5 GB | freecoursewb | 1 month | 2 | 8 | |
| 2.9 GB | freecoursewb | 3 months | 3 | 0 |
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