Cutting-Edge AI: Deep Reinforcement Learning in Python

سرفصل های دوره

Apply deep learning to artificial intelligence and reinforcement learning using evolution strategies, A2C, and DDPG

01 - Welcome

001 Introduction

002 Outline

003 Where to get the code

external-links.zip

02 - Review of Fundamental Reinforcement Learning Concepts

001 Review Section Introduction

002 The Explore-Exploit Dilemma

003 Markov Decision Processes (MDPs)

004 Monte Carlo Methods

005 Temporal Difference Learning (TD)

006 OpenAI Gym Warmup

007 Review Section Summary

008 Suggestion Box

03 - A2C (Advantage Actor-Critic)

001 A2C Section Introduction

002 A2C Theory (part 1)

003 A2C Theory (part 2)

004 A2C Theory (part 3)

005 A2C Demo

006 A2C Code - Rough Sketch

007 Multiple Processes

008 Environment Wrappers

009 Convolutional Neural Network

010 A2C

011 A2C Section Summary

04 - DDPG (Deep Deterministic Policy Gradient)

001 DDPG Section Introduction

002 Deep Q-Learning (DQN) Review

003 DDPG Theory

004 MuJoCo

005 DDPG Code (part 1)

006 DDPG Code (part 2)

007 DDPG Section Summary

05 - ES (Evolution Strategies)

001 ES Section Introduction

002 ES Theory

003 Notes on Evolution Strategies

004 ES for Optimizing a Function

005 ES for Supervised Learning

006 Flappy Bird

007 ES for Flappy Bird in Code

008 ES for MuJoCo in Code

009 ES Section Summary

06 - Setting Up Your Environment (FAQ by Student Request)

001 Anaconda Environment Setup

002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow

07 - Extra Help With Python Coding for Beginners (FAQ by Student Request)

001 How to Code by Yourself (part 1)

002 How to Code by Yourself (part 2)

003 Proof that using Jupyter Notebook is the same as not using it

004 Python 2 vs Python 3

08 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)

001 How to Succeed in this Course (Long Version)

002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced

003 Machine Learning and AI Prerequisite Roadmap (pt 1)

004 Machine Learning and AI Prerequisite Roadmap (pt 2)

09 - Appendix FAQ Finale

001 What is the Appendix

002 BONUS Lecture

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تولید کننده: Udemy-Training