| 0 | 102.4 B | ||
| 1. Introduction.mp4 | 66.6 MB | ||
| 1. Introduction.srt | 4.6 KB | ||
| 1. Setting up Project & Installing Python Packages.mp4 | 51.6 MB | ||
| 1. Setting up Project & Installing Python Packages.srt | 6.3 KB | ||
| 1. Setting up for Course & Installing Python Packages.mp4 | 50.3 MB | ||
| 1. Setting up for Course & Installing Python Packages.srt | 7.7 KB | ||
| 1 | 70.2 KB | ||
| 2 | 115.2 KB | ||
| 10. Learn Function.mp4 | 89 MB | ||
| 10. Learn Function.srt | 14.5 KB | ||
| 10. PART 2 Creating Environment with Technical Indicators.mp4 | 53.2 MB | ||
| 10. PART 2 Creating Environment with Technical Indicators.srt | 6.4 KB | ||
| 10. Visualize Trained Agent.mp4 | 61.3 MB | ||
| 10. Visualize Trained Agent.srt | 7.8 KB | ||
| 11. Creating a Better Learning Environment for Agent.mp4 | 157.9 MB | ||
| 11. Creating a Better Learning Environment for Agent.srt | 18.2 KB | ||
| 11. PART 2 Visualizing our Agent in TA Environment.mp4 | 35.3 MB | ||
| 11. PART 2 Visualizing our Agent in TA Environment.srt | 4.8 KB | ||
| 12. Save & Load Agent.mp4 | 51.8 MB | ||
| 12. Save & Load Agent.srt | 5.3 KB | ||
| 13. Visualizing our Agent.mp4 | 67.2 MB | ||
| 13. Visualizing our Agent.srt | 7.5 KB | ||
| 2. Importing Packages & Setting up Gym Environment.mp4 | 44.4 MB | ||
| 2. Importing Packages & Setting up Gym Environment.srt | 9.5 KB | ||
| 2. Importing Packages.mp4 | 7.8 MB | ||
| 2. Importing Packages.srt | 1.9 KB | ||
| 3 | 466.8 KB | ||
| 3. Agent 1) Setting up Roundabout Gym Environment.mp4 | 25.7 MB | ||
| 3. Agent 1) Setting up Roundabout Gym Environment.srt | 3.1 KB | ||
| 3. Building Neural Network.mp4 | 50.7 MB | ||
| 3. Building Neural Network.srt | 11.3 KB | ||
| 3. Building class for Flappy Bird Agent.mp4 | 43.8 MB | ||
| 3. Building class for Flappy Bird Agent.srt | 9.4 KB | ||
| 3. Getting our S&P 500 Data.mp4 | 46.9 MB | ||
| 3. Getting our S&P 500 Data.srt | 5.6 KB | ||
| 3. Setting up Gym Environment.mp4 | 18.9 MB | ||
| 3. Setting up Gym Environment.srt | 3.9 KB | ||
| 3. What is Q-Learning.mp4 | 49.4 MB | ||
| 3. What is Q-Learning.srt | 9.3 KB | ||
| 4. Agent 1) Training & Visualizing our Agent.mp4 | 37.7 MB | ||
| 4. Agent 1) Training & Visualizing our Agent.srt | 6.2 KB | ||
| 4. Building Class for Mario Agent.mp4 | 28 MB | ||
| 4. Building Reinforcement Learning Agent.mp4 | 52.7 MB | ||
| 4. Building Reinforcement Learning Agent.srt | 8.1 KB | ||
| 4. Implementing Q-Learning from Scratch.mp4 | 21.6 MB | ||
| 4. What is Deep Q Learning .mp4 | 9.9 MB | ||
| 4. What is Deep Q Learning .srt | 3.4 KB | ||
| 4 | 448.6 KB | ||
| 4. Building Class for Mario Agent.srt | 5.1 KB | ||
| 4. Implementing Q-Learning from Scratch.srt | 5.2 KB | ||
| 4. Preprocessing our Data.mp4 | 30.5 MB | ||
| 4. Preprocessing our Data.srt | 4.5 KB | ||
| 5. Creating our Environment.mp4 | 50.8 MB | ||
| 5. Creating our Environment.srt | 6.6 KB | ||
| 5 | 310.7 KB | ||
| 5. Agent 2) Setting up Parking Gym Environment.mp4 | 12.2 MB | ||
| 5. Agent 2) Setting up Parking Gym Environment.srt | 1.6 KB | ||
| 5. Building Neural Network.mp4 | 70.4 MB | ||
| 5. Building Neural Network.srt | 9.4 KB | ||
| 5. Training Agent.mp4 | 21.4 MB | ||
| 5. Training Agent.srt | 4.1 KB | ||
| 5. Training Q-Learning Agent.mp4 | 68.4 MB | ||
| 5. Training Q-Learning Agent.srt | 11.8 KB | ||
| 6. Act Function.mp4 | 23.8 MB | ||
| 6. Agent 2) Training our Agent.srt | 8.1 KB | ||
| 6. Analyzing our Trained Agent.srt | 2.5 KB | ||
| 6. Taking Random Actions in Environment.srt | 2.8 KB | ||
| 6 | 64.3 KB | ||
| 6. Act Function.srt | 3.8 KB | ||
| 6. Acting Function.mp4 | 31.7 MB | ||
| 6. Acting Function.srt | 4.4 KB | ||
| 6. Agent 2) Training our Agent.mp4 | 81.1 MB | ||
| 6. Analyzing our Trained Agent.mp4 | 14.9 MB | ||
| 6. Taking Random Actions in Environment.mp4 | 17.5 MB | ||
| 6. Visualizing our Agent.mp4 | 33.6 MB | ||
| 6. Visualizing our Agent.srt | 5.4 KB | ||
| 7. Agent 2) Visualizing our Agent.mp4 | 8.3 MB | ||
| 7. Creating Model & Learning from Environment.srt | 9.7 KB | ||
| 7 | 34.6 KB | ||
| 7. Agent 2) Visualizing our Agent.srt | 1.1 KB | ||
| 7. Creating Model & Learning from Environment.mp4 | 71 MB | ||
| 7. Save & Load Agent.mp4 | 8.8 MB | ||
| 7. Save & Load Agent.srt | 1.7 KB | ||
| 7. Train Function.mp4 | 78.2 MB | ||
| 7. Train Function.srt | 10.5 KB | ||
| 7. Update Epsilon Function.mp4 | 16.8 MB | ||
| 7. Update Epsilon Function.srt | 2.2 KB | ||
| 7. Visualizing our Agent & Testing in other Environments.mp4 | 98.4 MB | ||
| 7. Visualizing our Agent & Testing in other Environments.srt | 12.8 KB | ||
| 8. Train Function.mp4 | 29.6 MB | ||
| 8. Visualizing our Agent.srt | 3.7 KB | ||
| 8 | 108.5 KB | ||
| 8. Agent 3) Highway Agent.mp4 | 39.8 MB | ||
| 8. Agent 3) Highway Agent.srt | 5.7 KB | ||
| 8. Learn Function.mp4 | 143.2 MB | ||
| 8. Learn Function.srt | 16.3 KB | ||
| 8. Train Function.srt | 5.2 KB | ||
| 8. Visualizing our Agent.mp4 | 20.9 MB | ||
| 9. PART 2 Implementing 89 different Technical Indicators in Data.mp4 | 52 MB | ||
| 9 | 82.3 KB | ||
| 9. PART 2 Implementing 89 different Technical Indicators in Data.srt | 6.9 KB | ||
| 9. Preprocess State for Neural Network Function.mp4 | 75.4 MB | ||
| 9. Preprocess State for Neural Network Function.srt | 10.5 KB | ||
| 9. Visualize Function.mp4 | 33.3 MB | ||
| 9. Visualize Function.srt | 5.1 KB | ||
| TutsNode.com.txt | 102.4 B | ||
| [TGx]Downloaded from torrentgalaxy.to .txt | 614.4 B | ||
| 10 | 357.5 KB | ||
| 11 | 432.1 KB | ||
| 12 | 213.5 KB | ||
| 13 | 294.4 KB | ||
| 14 | 282.8 KB | ||
| 15 | 14.9 KB | ||
| 16 | 236 KB | ||
| 17 | 403.3 KB | ||
| 18 | 214.5 KB | ||
| 19 | 294.3 KB | ||
| 20 | 199.4 KB | ||
| 21 | 219.5 KB | ||
| 22 | 82.6 KB | ||
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| 24 | 108.9 KB | ||
| 25 | 233.2 KB | ||
| 26 | 193.4 KB | ||
| 27 | 416.8 KB | ||
| 28 | 272 KB | ||
| 29 | 224.5 KB | ||
| 30 | 459.9 KB | ||
| 31 | 225 KB | ||
| 32 | 308.2 KB | ||
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| 34 | 364.8 KB | ||
| 35 | 5.7 KB | ||
| 36 | 334.2 KB | ||
| 37 | 217.6 KB | ||
| 38 | 250.8 KB | ||
| 39 | 425.1 KB | ||
| 40 | 143.5 KB | ||
| 41 | 72.4 KB | ||
| 42 | 18 KB | ||
| 43 | 87.2 KB | ||
| 44 | 107.7 KB | ||
| 45 | 492.5 KB | ||
| 46 | 142.8 KB | ||
| 47 | 243 KB | ||
| 48 | 348.2 KB | ||
| 49 | 103.2 KB | ||
| 50 | 339.3 KB | ||
| 51 | 112 KB | ||
| 52 | 443.7 KB | ||
| 53 | 238.6 KB | ||
| 54 | 170 KB | ||
| 55 | 202.8 KB | ||
| ▲ 172 total files | |||
Description
Join the most comprehensive Reinforcement Learning course on Udemy and learn how to build Amazing Reinforcement Learning Applications!
Do you want to learn how to build cutting edge trading algorithms that leverage todays technology? Or do you want to learn the tools and skills that are considered the state of the art of Artificial Intelligence? Or do you just want to learn Reinforcement Learning in a Highly practical way?
After completing this course you will be able to:
Build any reinforcement learning algorithm in any environment
Use Reinforcement Learning for your own scientific experiments
Solve problems using Reinforcement Learning
Leverage Cutting Edge Technologies for your own project
Master OpenAI gym’s
Why should you choose this course?
This course guides you through a step-by-step process of building state of the art trading algorithms and ensures that you walk away with the practical skills to build any reinforcement learning algorithm idea you have and implement it efficiently.
Here’s what’s included in the course:
Atari Reinforcement Learning Agent
Build Q-Learning from scratch and implement it in Autonomous Taxi Environment
Build Deep Q-Learning from scratch and implement it in Flappy Bird
Build Deep Q-Learning from scratch and implement it in Mario
Build a Stock Reinforcement Learning Algorithm
Build a intelligent car that can complete various environments
And much more!
This course is for you if …
You’re interested in cutting edge technology and applying it in practical ways
You’re passionate about Deep Learning/AI
Want to learn about cutting-edge technologies!
Want to learn reinforcement learning by doing cool projects!
Course prerequisites:
Python!
Who this course is for:
Python Developers
Coding Enthusiast
People Interested in Cutting-Edge Technology
Requirements
Just Python!!
Knowing Neural Networks, but not necessary
Last Updated 4/2021
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 2.4 GB | freecoursewb | 2 weeks | 0 | 0 | |
| 910 MB | freecoursewb | 4 weeks | 5 | 4 | |
| 803.9 MB | freecoursewb | 4 weeks | 15 | 15 | |
| 258.8 MB | freecoursewb | 1 month | 0 | 0 | |
| 2.6 GB | freecoursewb | 1 month | 32 | 16 |
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