Udemy - Artificial Intelligence Reinforcement Learning in Python

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.2 GB
  • Uploaded Byfcs0310
  • Downloads76
  • Last checkedJan. 09th '19
  • Date uploadedJan. 09th '19
  • Seeders 11
  • Leechers9

Infohash : 2C2ECE5A1762052507C7237EFF15C94A55F65C72

Udemy - Artificial Intelligence Reinforcement Learning in Python

The complete guide to artificial intelligence and machine learning, prep for deep reinforcement learning.

Created by Lazy Programmer Inc.
Last updated 1/2019

For more Udemy Courses: https://freecoursesite.com

Files:

[FreeCourseSite.com] Udemy - Artificial Intelligence Reinforcement Learning in Python 1. Introduction and Outline
  • 1. Introduction and outline.mp4 (10.1 MB)
  • 1. Introduction and outline.vtt (12.0 KB)
  • 2. What is Reinforcement Learning.mp4 (22.0 MB)
  • 2. What is Reinforcement Learning.vtt (24.0 KB)
  • 3. Where to get the Code.mp4 (4.5 MB)
  • 3. Where to get the Code.vtt (4.9 KB)
  • 4. Strategy for Passing the Course.mp4 (9.5 MB)
  • 4. Strategy for Passing the Course.vtt (10.7 KB)
2. Return of the Multi-Armed Bandit
  • 1. Problem Setup and The Explore-Exploit Dilemma.mp4 (6.5 MB)
  • 1. Problem Setup and The Explore-Exploit Dilemma.vtt (7.1 KB)
  • 2. Epsilon-Greedy.mp4 (2.8 MB)
  • 2. Epsilon-Greedy.vtt (2.9 KB)
  • 3. Updating a Sample Mean.mp4 (2.2 MB)
  • 3. Updating a Sample Mean.vtt (2.0 KB)
  • 4. Comparing Different Epsilons.mp4 (8.0 MB)
  • 4. Comparing Different Epsilons.vtt (4.9 KB)
  • 5. Optimistic Initial Values.mp4 (5.1 MB)
  • 5. Optimistic Initial Values.vtt (3.0 KB)
  • 6. UCB1.mp4 (8.2 MB)
  • 6. UCB1.vtt (7.4 KB)
  • 7. Bayesian Thompson Sampling.mp4 (51.8 MB)
  • 7. Bayesian Thompson Sampling.vtt (11.0 KB)
  • 8. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4 (10.6 MB)
  • 8. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.vtt (5.5 KB)
  • 9. Nonstationary Bandits.mp4 (7.5 MB)
  • 9. Nonstationary Bandits.vtt (7.1 KB)
3. Build an Intelligent Tic-Tac-Toe Agent
  • 1. Naive Solution to Tic-Tac-Toe.mp4 (6.1 MB)
  • 1. Naive Solution to Tic-Tac-Toe.vtt (6.6 KB)
  • 10. Tic Tac Toe Code Main Loop and Demo.mp4 (9.4 MB)
  • 10. Tic Tac Toe Code Main Loop and Demo.vtt (8.4 KB)
  • 11. Tic Tac Toe Summary.mp4 (8.3 MB)
  • 11. Tic Tac Toe Summary.vtt (9.3 KB)
  • 2. Components of a Reinforcement Learning System.mp4 (12.7 MB)
  • 2. Components of a Reinforcement Learning System.vtt (13.4 KB)
  • 3. Notes on Assigning Rewards.mp4 (4.2 MB)
  • 3. Notes on Assigning Rewards.vtt (4.5 KB)
  • 4. The Value Function and Your First Reinforcement Learning Algorithm.mp4 (103.7 MB)
  • 4. The Value Function and Your First Reinforcement Learning Algorithm.vtt (21.7 KB)
  • 5. Tic Tac Toe Code Outline.mp4 (5.0 MB)
  • 5. Tic Tac Toe Code Outline.vtt (5.9 KB)
  • 6. Tic Tac Toe Code Representing States.mp4 (4.4 MB)
  • 6. Tic Tac Toe Code Representing States.vtt (4.5 KB)
  • 7. Tic Tac Toe Code Enumerating States Recursively.mp4 (9.8 MB)
  • 7. Tic Tac Toe Code Enumerating States Recursively.vtt (10.3 KB)
  • 8. Tic Tac Toe Code The Environment.mp4 (10.0 MB)
  • 8. Tic Tac Toe Code The Environment.vtt (10.9 KB)
  • 9. Tic Tac Toe Code The Agent.mp4 (9.0 MB)
  • 9. Tic Tac Toe Code The Agent.vtt (10.0 KB)
4. Markov Decision Proccesses
  • 1. Gridworld.mp4 (3.4 MB)
  • 1. Gridworld.vtt (3.7 KB)
  • 2. The Markov Property.mp4 (7.2 MB)
  • 2. The Markov Property.vtt (7.7 KB)
  • 3. Defining and Formalizing the MDP.mp4 (6.6 MB)
  • 3. Defining and Formalizing the MDP.vtt (7.2 KB)
  • 4. Future Rewards.mp4 (5.2 MB)
  • 4. Future Rewards.vtt (5.5 KB)
  • 5. Value Function Introduction.mp4 (19.7 MB)
  • 5. Value Function Introduction.vtt (14.5 KB)
  • 6. Value Functions.mp4 (8.3 MB)
  • 6. Value Functions.vtt (11.0 KB)
  • 7. Bellman Examples.mp4 (87.1 MB)
  • 7. Bellman Examples.vtt (25.8 KB)
  • 8. Optimal Policy and Optimal Value Function.mp4 (3.2 MB)
  • 8. Optimal Policy and Optimal Value Function.vtt (4.7 KB)
  • 9. MDP Summary.mp4 (2.4 MB)
  • 9. MDP Summary.vtt (2.4 KB)
5. Dynamic Programming
  • 1. Intro to Dynamic Programming and Iterative Policy Evaluation.mp4 (4.8 MB)
  • 1. Intro to Dynamic Programming and Iterative Policy Evaluation.vtt (4.9 KB)
  • 10. Dynamic Programming Summary.mp4 (8.3 MB)
  • 10. Dynamic Programming Summary.vtt (8.6 KB)
  • 2. Gridworld in Code.mp4 (11.5 MB)
  • 2. Gridworld in Code.vtt (10.0 KB)
  • 3. Iterative Policy Evaluation in Code.mp4 (12.1 MB)
  • 3. Iterative Policy Evaluation in Code.vtt (9.3 KB)
  • 4. Policy Improvement.mp4 (4.5 MB)
  • 4. Policy Improvement.vtt (4.7 KB)
  • 5. Policy Iteration.mp4 (3.1 MB)
  • 5. Policy Iteration.vtt (3.2 KB)
  • 6. Policy Iteration in Code.mp4 (7.6 MB)
  • 6. Policy Iteration in Code.vtt (5.6 KB)
  • 7. Policy Iteration in Windy Gridworld.mp4 (9.1 MB)
  • 7. Policy Iteration in Windy Gridworld.vtt (7.5 KB)
  • 8. Value Iteration.mp4 (6.2 MB)
  • 8. Value Iteration.vtt (6.4 KB)
  • 9. Value Iteration in Code.mp4 (4.9 MB)
  • 9. Value Iteration in Code.vtt (3.0 KB)
6. Monte Carlo
  • 1. Monte Carlo Intro.mp4 (5.0 MB)
  • 1. Monte Carlo Intro.vtt (5.4 KB)
  • 2. Monte Carlo Policy Evaluation.mp4 (8.8 MB)
  • 2. Monte Carlo Policy Evaluation.vtt (9.8 KB)
  • 3. Monte Carlo Policy Evaluation in Code.mp4 (7.9 MB)
  • 3. Monte Carlo Policy Evaluation in Code.vtt (5.6 KB)
  • 4. Policy Evaluation in Windy Gridworld.mp4 (7.8 MB)
  • 4. Policy Evaluation in Windy Gridworld.vtt (4.9 KB)
  • 5. Monte Carlo Control.mp4 (9.3 MB)
  • 5. Monte Carlo Control.vtt (9.3 KB)
  • 6. Monte Carlo Control in Code.mp4 (10.2 MB)
  • 6. Monte Carlo Control in Code.vtt (5.3 KB)
  • 7. Monte Carlo Control without Exploring Starts.mp4 (4.6 MB)
  • 7. Monte Carlo Control without Exploring Starts.vtt (5.0 KB)
  • 8. Monte Carlo Control without Exploring Starts in Code.mp4 (8.1 MB)
  • 8. Monte Carlo Control without Exploring Starts in Code.vtt (3.3 KB)
  • 9. Monte Carlo Summary.mp4 (5.7 MB)
  • 9. Monte Carlo Summary.vtt (6.5 KB)

Code:

  • http://0d.kebhana.mx:443/announce
  • udp://bigfoot1942.sektori.org:6969/announce
  • https://tracker.fastdownload.xyz:443/announce
  • https://opentracker.xyz:443/announce
  • http://open.trackerlist.xyz:80/announce
  • udp://tracker.birkenwald.de:6969/announce
  • udp://tracker.vanitycore.co:6969/announce
  • http://torrent.nwps.ws:80/announce
  • udp://tracker.port443.xyz:6969/announce
  • udp://tracker.tiny-vps.com:6969/announce
  • http://t.nyaatracker.com:80/announce
  • udp://tracker.torrent.eu.org:451/announce
  • udp://retracker.lanta-net.ru:2710/announce
  • udp://retracker.hotplug.ru:2710/announce
  • udp://bt.xxx-tracker.com:2710/announce
  • udp://tracker.coppersurfer.tk:6969/announce
  • udp://exodus.desync.com:6969/announce
  • udp://explodie.org:6969/announce
  • udp://tracker.toss.li:6969/announce
  • udp://ipv4.tracker.harry.lu:80/announce
  • udp://tracker.iamhansen.xyz:2000/announce
  • udp://tracker.opentrackr.org:1337/announce
  • udp://tracker.justseed.it:1337/announce
  • https://2.track.ga:443/announce
  • udp://zephir.monocul.us:6969/announce
  • udp://open.demonii.si:1337/announce