Udemy - Advanced Reinforcement Learning - Policy Gradient Methods

Torrent Details

Udemy - Advanced Reinforcement Learning - policy gradient methodsUdemy - Advanced Reinforcement Learning - policy gradient methods

NAME
Udemy - Advanced Reinforcement Learning - policy gradient methods.torrent
CATEGORY
Other
INFOHASH
5743eeb7d00724621857ff1c05b45e1c32453d4a
SIZE
733 MB in 87 files
ADDED
Uploaded on 26-05-2022 by our crawler pet called "Spidey".
SWARM
0 seeders & 0 peers
RATING
No votes yet.

Please login to vote for this torrent.


Description

Advanced Reinforcement Learning: policy gradient methods



https://DevCourseWeb.com

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 733 MB | Duration: 47 lectures • 2h 35m

Build Artificial Intelligence (AI) agents using Deep Reinforcement Learning and PyTorch: (REINFORCE, A2C, PPO, etc)

What you'll learn
Master some of the most advanced Reinforcement Learning algorithms.
Learn how to create AIs that can act in a complex environment to achieve their goals.
Create from scratch advanced Reinforcement Learning agents using Python's most popular tools (PyTorch Lightning, OpenAI gym, Optuna)
Learn how to perform hyperparameter tuning (Choosing the best experimental conditions for our AI to learn)
Fundamentally understand the learning process for each algorithm.
Debug and extend the algorithms presented.
Understand and implement new algorithms from research papers.

Requirements
Be comfortable programming in Python
Completing our course "Reinforcement Learning beginner to master" or being familiar with the basics of Reinforcement Learning (or watching the leveling sections included in this course).
Know basic statistics (mean, variance, normal distribution)
Description
This is the most complete Reinforcement Learning course series on Udemy. In it, you will learn to implement some of the most powerful Deep Reinforcement Learning algorithms in Python using PyTorch and PyTorch lightning. You will implement from scratch adaptive algorithms that solve control tasks based on experience. You will learn to combine these techniques with Neural Networks and Deep Learning methods to create adaptive Artificial Intelligence agents capable of solving decision-making tasks.

Discussion

Comments 0

Post Your Comment

Files in this torrent

FILENAMESIZE
~Get Your Files Here !/01 - Introduction/001 Introduction.html70 B
~Get Your Files Here !/01 - Introduction/002 Reinforcement Learning series.html699 B
~Get Your Files Here !/01 - Introduction/003 Google Colab.mp45.8 MB
~Get Your Files Here !/01 - Introduction/003 Google Colab_en.vtt1.7 KB
~Get Your Files Here !/01 - Introduction/004 Where to begin.html70 B
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/001 Elements common to all control tasks.mp438.7 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/001 Elements common to all control tasks_en.vtt6 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/002 The Markov decision process (MDP).mp425.1 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/002 The Markov decision process (MDP)_en.vtt5.6 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/003 Types of Markov decision process.mp48.7 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/003 Types of Markov decision process_en.vtt2.2 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/004 Trajectory vs episode.mp44.9 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/004 Trajectory vs episode_en.vtt1.1 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/005 Reward vs Return.mp45.3 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/005 Reward vs Return_en.vtt1.6 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/006 Discount factor.mp414.8 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/006 Discount factor_en.vtt4.1 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/007 Policy.mp47.4 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/007 Policy_en.vtt2.1 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/008 State values v(s) and action values q(s,a).mp44.3 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/008 State values v(s) and action values q(s,a)_en.vtt1.2 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/009 Bellman equations.mp412.4 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/009 Bellman equations_en.vtt3 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/010 Solving a Markov decision process.mp414.1 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/010 Solving a Markov decision process_en.vtt3.2 KB
~Get Your Files Here !/03 - Refresher Monte Carlo methods/001 Monte Carlo methods.mp413.7 MB
~Get Your Files Here !/03 - Refresher Monte Carlo methods/001 Monte Carlo methods_en.vtt3.3 KB
~Get Your Files Here !/03 - Refresher Monte Carlo methods/002 Solving control tasks with Monte Carlo methods.mp423.8 MB
~Get Your Files Here !/03 - Refresher Monte Carlo methods/002 Solving control tasks with Monte Carlo methods_en.vtt7 KB
~Get Your Files Here !/03 - Refresher Monte Carlo methods/003 On-policy Monte Carlo control.mp420.4 MB
~Get Your Files Here !/03 - Refresher Monte Carlo methods/003 On-policy Monte Carlo control_en.vtt4.6 KB
~Get Your Files Here !/04 - Refresher Temporal difference methods/001 Temporal difference methods.mp412.6 MB
~Get Your Files Here !/04 - Refresher Temporal difference methods/001 Temporal difference methods_en.vtt3.6 KB
~Get Your Files Here !/04 - Refresher Temporal difference methods/002 Solving control tasks with temporal difference methods.mp414.5 MB
~Get Your Files Here !/04 - Refresher Temporal difference methods/002 Solving control tasks with temporal difference methods_en.vtt3.6 KB
~Get Your Files Here !/04 - Refresher Temporal difference methods/003 Monte Carlo vs temporal difference methods.mp48.9 MB
~Get Your Files Here !/04 - Refresher Temporal difference methods/003 Monte Carlo vs temporal difference methods_en.vtt1.6 KB
~Get Your Files Here !/04 - Refresher Temporal difference methods/004 SARSA.mp417.8 MB
~Get Your Files Here !/04 - Refresher Temporal difference methods/004 SARSA_en.vtt3.9 KB
~Get Your Files Here !/04 - Refresher Temporal difference methods/005 Q-Learning.mp411.1 MB
~Get Your Files Here !/04 - Refresher Temporal difference methods/005 Q-Learning_en.vtt2.5 KB
~Get Your Files Here !/04 - Refresher Temporal difference methods/006 Advantages of temporal difference methods.mp43.7 MB
~Get Your Files Here !/04 - Refresher Temporal difference methods/006 Advantages of temporal difference methods_en.vtt1.2 KB
~Get Your Files Here !/05 - Refresher N-step bootstrapping/001 N-step temporal difference methods.mp412.5 MB
~Get Your Files Here !/05 - Refresher N-step bootstrapping/001 N-step temporal difference methods_en.vtt3.4 KB
~Get Your Files Here !/05 - Refresher N-step bootstrapping/002 Where do n-step methods fit.mp411.1 MB
~Get Your Files Here !/05 - Refresher N-step bootstrapping/002 Where do n-step methods fit_en.vtt2.7 KB
~Get Your Files Here !/05 - Refresher N-step bootstrapping/003 Effect of changing n.mp428 MB
~Get Your Files Here !/05 - Refresher N-step bootstrapping/003 Effect of changing n_en.vtt4.6 KB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/001 Function approximators.mp436.3 MB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/001 Function approximators_en.vtt8.6 KB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/002 Artificial Neural Networks.mp424.4 MB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/002 Artificial Neural Networks_en.vtt3.9 KB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/003 Artificial Neurons.mp425.6 MB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/003 Artificial Neurons_en.vtt5.8 KB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/004 How to represent a Neural Network.mp438.2 MB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/004 How to represent a Neural Network_en.vtt7.3 KB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/005 Stochastic Gradient Descent.mp449.8 MB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/005 Stochastic Gradient Descent_en.vtt6.4 KB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/006 Neural Network optimization.mp423.4 MB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/006 Neural Network optimization_en.vtt4.4 KB
~Get Your Files Here !/07 - Refresher REINFORCE/001 Policy gradient methods.mp421.7 MB
~Get Your Files Here !/07 - Refresher REINFORCE/001 Policy gradient methods_en.vtt4.7 KB
~Get Your Files Here !/07 - Refresher REINFORCE/002 Representing policies using neural networks.mp427.8 MB
~Get Your Files Here !/07 - Refresher REINFORCE/002 Representing policies using neural networks_en.vtt5.2 KB
~Get Your Files Here !/07 - Refresher REINFORCE/003 Policy performance.mp48.5 MB
~Get Your Files Here !/07 - Refresher REINFORCE/003 Policy performance_en.vtt2.6 KB
~Get Your Files Here !/07 - Refresher REINFORCE/004 The policy gradient theorem.mp415.9 MB
~Get Your Files Here !/07 - Refresher REINFORCE/004 The policy gradient theorem_en.vtt3.8 KB
~Get Your Files Here !/07 - Refresher REINFORCE/005 REINFORCE.mp413.2 MB
~Get Your Files Here !/07 - Refresher REINFORCE/005 REINFORCE_en.vtt4.1 KB
~Get Your Files Here !/07 - Refresher REINFORCE/006 Parallel learning.mp412.3 MB
~Get Your Files Here !/07 - Refresher REINFORCE/006 Parallel learning_en.vtt3.6 KB
~Get Your Files Here !/07 - Refresher REINFORCE/007 Entropy regularization.mp423.2 MB
~Get Your Files Here !/07 - Refresher REINFORCE/007 Entropy regularization_en.vtt6.6 KB
~Get Your Files Here !/07 - Refresher REINFORCE/008 REINFORCE 2.mp410.9 MB
~Get Your Files Here !/07 - Refresher REINFORCE/008 REINFORCE 2_en.vtt2.4 KB
~Get Your Files Here !/08 - PyTorch Lightning/001 PyTorch Lightning.mp432 MB
~Get Your Files Here !/08 - PyTorch Lightning/001 PyTorch Lightning_en.vtt9.3 KB
~Get Your Files Here !/08 - PyTorch Lightning/002 Link to the code notebook.html70 B
~Get Your Files Here !/09 - REINFORCE for continuous control tasks/001 REINFORCE for continuous action spaces.html70 B
~Get Your Files Here !/10 - Advantage Actor Critic (A2C)/001 A2C.mp450.1 MB
~Get Your Files Here !/10 - Advantage Actor Critic (A2C)/001 A2C_en.vtt10.6 KB
~Get Your Files Here !/11 - Generalized Advantage Estimation (GAE)/001 Generalized Advantage Estimation.html70 B
~Get Your Files Here !/12 - Proximal Policy Optimization (PPO)/001 Proximal Policy Optimization.html70 B
~Get Your Files Here !/13 - Phasic PPO/001 Phasic PPO.html70 B
~Get Your Files Here !/Bonus Resources.txt386 B

Alternative Torrents for 'Udemy Advanced Reinforcement Learning policy gradient methods'.

There are no alternative torrents found.