Introduction to Reinforcement Learning (RL)

سرفصل های دوره

Deep Reinforcement Learning in PyTorch: From Fundamentals to Advanced Algorithms

1 - Introduction

1 -Introduction

2 -Value function

3 -Value function implementation

4 -Bellman equation

5 -Bellman equation implementation

6 -Q-Learning algorithm

7 -Q-Learning algorithm implementation

2 - Playing Atari with Deep Reinforcement Learning

1 -Paper review

2 -Implementation from scratch part1

3 -Implementation from scratch part2

4 -Implementation from scratch part3

5 -Implementation from scratch part4

6 -Implementation from scratch part5

7 -Implementation from scratch part6

8 -Implementation from scratch part7

9 -Results

10 -Testing part1

11 -Testing part2

3 - Human-level control through deep reinforcement learning

1 -Paper review

2 -Implementation from scratch

3 -Results

4 - Asynchronous Methods for Deep Reinforcement Learning

1 -Paper review

2 -Pseudo-code

3 -Implementation from scratch part1

4 -Implementation from scratch part2

5 -Implementation from scratch part3

6 -Implementation from scratch part4

7 -Implementation from scratch part5

8 -Implementation from scratch part6

9 -Implementation from scratch part7

10 -Testing

11 -Results

5 - Proximal Policy Optimization Algorithms

1 -Paper review

2 -Implementation from scratch part1

3 -Implementation from scratch part2

4 -Implementation from scratch part3

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تولید کننده: Udemy