[Tutorialsplanet.NET] Udemy - Artificial Intelligence IV - Reinforcement Learning In Java

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[Tutorialsplanet.NET] Udemy - Artificial Intelligence IV - Reinforcement Learning in Java

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[Tutorialsplanet.NET] Udemy - Artificial Intelligence IV - Reinforcement Learning in Java.torrent
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b1f24dc951d181135101354562950a15408167bf
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777 MB in 68 files
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Uploaded on 02-05-2023 by our crawler pet called "Spidey".
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Description

Udemy - Artificial Intelligence IV - Reinforcement Learning in Java [TP]

All you need to know about Markov Decision processes, value- and policy-iteation as well as about Q learning approach

What you'll learn

Understand reinforcement learning
Understand Markov Decision Processes
Understand value- and policy-iteration
Understand Q-learning approach and it's applications

Requirements

Basics AI knowledge: neural networks in the main
Description

This course is about Reinforcement Learning. The first step is to talk about the mathematical background: we can use a Markov Decision Process as a model for reinforcement learning.
For more Udemy Courses: https://tutorialsplanet.net

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Files in this torrent

FILENAMESIZE
1 - Introduction/1 - Introduction.mp43.6 MB
1 - Introduction/2 - Types of learning.mp436.2 MB
1 - Introduction/3 - Applications of reinforcement learning.mp423.2 MB
2 - Markov Decision Process MDP Theory/10 - Mathematical formulation of reinforcement learning.html255 B
2 - Markov Decision Process MDP Theory/4 - Markov decision processes basics I.mp430.5 MB
2 - Markov Decision Process MDP Theory/5 - Markov decision processes basics II English.srt8.6 KB
2 - Markov Decision Process MDP Theory/5 - Markov decision processes basics II.mp40 B
2 - Markov Decision Process MDP Theory/6 - Markov decision processes equations English.srt15.1 KB
2 - Markov Decision Process MDP Theory/6 - Markov decision processes equations.mp40 B
2 - Markov Decision Process MDP Theory/7 - Markov decision processes illustration English.srt9.6 KB
2 - Markov Decision Process MDP Theory/7 - Markov decision processes illustration.mp40 B
2 - Markov Decision Process MDP Theory/8 - Bellmanequation English.srt7.3 KB
2 - Markov Decision Process MDP Theory/8 - Bellmanequation.mp40 B
2 - Markov Decision Process MDP Theory/9 - How to solve MDP problems English.srt3.1 KB
2 - Markov Decision Process MDP Theory/9 - How to solve MDP problems.mp48.3 MB
3 - Markov Decision Process Value Iteration/11 - What is value iteration English.srt8.5 KB
3 - Markov Decision Process Value Iteration/11 - What is value iteration.mp432.4 MB
3 - Markov Decision Process Value Iteration/12 - Value iteration implementation I English.srt6.1 KB
3 - Markov Decision Process Value Iteration/12 - Value iteration implementation I.mp434.1 MB
3 - Markov Decision Process Value Iteration/13 - Value iteration implementation II English.srt5.8 KB
3 - Markov Decision Process Value Iteration/13 - Value iteration implementation II.mp442.8 MB
3 - Markov Decision Process Value Iteration/14 - Value iteration implementation III English.srt6.7 KB
3 - Markov Decision Process Value Iteration/14 - Value iteration implementation III.mp434.2 MB
3 - Markov Decision Process Value Iteration/15 - Value iteration implementation IV English.srt9.7 KB
3 - Markov Decision Process Value Iteration/15 - Value iteration implementation IV.mp493.1 MB
3 - Markov Decision Process Value Iteration/16 - Value iteration implementation V English.srt4.1 KB
3 - Markov Decision Process Value Iteration/16 - Value iteration implementation V.mp419.1 MB
4 - Markov Decision Process Policy Iteration/17 - What is policy iteration English.srt5.3 KB
4 - Markov Decision Process Policy Iteration/17 - What is policy iteration.mp49.4 MB
4 - Markov Decision Process Policy Iteration/18 - Value iteration vs policy iteration English.srt3.4 KB
4 - Markov Decision Process Policy Iteration/18 - Value iteration vs policy iteration.mp46.7 MB
5 - Q Learning Theory/19 - Q learning introduction English.srt7.1 KB
5 - Q Learning Theory/19 - Q learning introduction.mp416.1 MB
5 - Q Learning Theory/20 - Q learning introduction the algorithm English.srt9.6 KB
5 - Q Learning Theory/20 - Q learning introduction the algorithm.mp421.7 MB
5 - Q Learning Theory/21 - Q learning illustration English.srt15.2 KB
5 - Q Learning Theory/21 - Q learning illustration.mp428.3 MB
5 - Q Learning Theory/22 - Mathematical formulation of Q learning.html262 B
6 - Pathfinding with QLearning/23 - PATHFINDING.html73 B
6 - Pathfinding with QLearning/24 - Pathfinding with Qlearning I English.srt7 KB
6 - Pathfinding with QLearning/24 - Pathfinding with Qlearning I.mp418.9 MB
6 - Pathfinding with QLearning/25 - Pathfinding with Qlearning II English.srt6 KB
6 - Pathfinding with QLearning/25 - Pathfinding with Qlearning II.mp425.4 MB
6 - Pathfinding with QLearning/26 - Pathfinding with Qlearning III English.srt11.7 KB
6 - Pathfinding with QLearning/26 - Pathfinding with Qlearning III.mp4109.6 MB
6 - Pathfinding with QLearning/27 - Pathfinding with Qlearning IV English.srt7.2 KB
6 - Pathfinding with QLearning/27 - Pathfinding with Qlearning IV.mp438.8 MB
6 - Pathfinding with QLearning/28 - SHORTEST PATH.html335 B
6 - Pathfinding with QLearning/29 - Shortest path with Qlearning English.srt6.5 KB
6 - Pathfinding with QLearning/29 - Shortest path with Qlearning.mp436 MB
7 - Exploration vs Exploitation Problem/30 - Exploration vs exploitation problem English.srt4.9 KB
7 - Exploration vs Exploitation Problem/30 - Exploration vs exploitation problem.mp410.5 MB
7 - Exploration vs Exploitation Problem/31 - Narmed bandit problem introduction English.srt11.1 KB
7 - Exploration vs Exploitation Problem/31 - Narmed bandit problem introduction.mp428.1 MB
7 - Exploration vs Exploitation Problem/32 - Narmed bandit problem implementation I English.srt9.8 KB
7 - Exploration vs Exploitation Problem/32 - Narmed bandit problem implementation I.mp448.2 MB
7 - Exploration vs Exploitation Problem/33 - Narmed bandit problem implementation II English.srt4.1 KB
7 - Exploration vs Exploitation Problem/33 - Narmed bandit problem implementation II.mp40 B
7 - Exploration vs Exploitation Problem/34 - Applications AB testing in marketing English.srt5.8 KB
7 - Exploration vs Exploitation Problem/34 - Applications AB testing in marketing.mp40 B
8 - Deep Reinforcement Learning Theory/35 - What is deep Q learning English.srt6.4 KB
8 - Deep Reinforcement Learning Theory/35 - What is deep Q learning.mp412.6 MB
8 - Deep Reinforcement Learning Theory/36 - Deep Q learning and εgreedy strategy English.srt4.3 KB
8 - Deep Reinforcement Learning Theory/37 - Deep Qlearning introduction remember and replay English.srt4.8 KB
8 - Deep Reinforcement Learning Theory/37 - Deep Qlearning introduction remember and replay.mp49.3 MB
8 - Deep Reinforcement Learning Theory/38 - Mathematical formulation of deep Q learning.html272 B
9 - Course Materials DOWNLOADS/39 - Course materials.html71 B
9 - Course Materials DOWNLOADS/39 - reinforcedlearning.zip27.9 KB

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