Deep Reinforcement Learning using python 2025

Welcome to Deep Reinforcement Studying utilizing python!

Have you ever ever requested your self how good robots are created?

Reinforcement studying  involved with creating clever robots which is a sub-field of machine studying that achieved spectacular ends in the latest years the place now we are able to construct robots that may beat people in very onerous  video games like alpha-go recreation and chess recreation.

Deep Reinforcement Studying  means Reinforcement studying  discipline plus deep studying discipline the place deep studying it is usually a a sub-field of machine studying  which makes use of particular algorithms known as neural networks.

On this course we are going to speak about Deep Reinforcement Studying and we are going to discuss concerning the following issues :-

• Part 1: An Introduction to Deep Reinforcement StudyingOn this part we are going to examine all the basics of deep reinforcement studying . These embody Coverage , Worth operate , Q operate and neural community.
• Part 2: Establishing the atmosphereOn this part we are going to learn to create our digital atmosphere and putting in all required packages.
• Part 3: Grid World Sport & Deep Q-StudyingOn this part we are going to learn to construct our first good robotic to unravel Grid World Sport.

  Right here we are going to learn to construct and prepare our neural community and find out how to make exploration and exploitation.

• Part 4: Mountain Automotive recreation & Deep Q-StudyingOn this part we are going to attempt to construct a robotic to unravel Mountain Automotive recreation.

  Right here we are going to learn to construct ICM module and RND module to unravel  sparse reward downside in Mountain Automotive recreation.

• Part 5: Flappy chook recreation & Deep Q-learningOn this part we are going to learn to construct a sensible robotic  to unravel Flappy chook recreation.

  Right here we are going to learn to construct many  variants of Q community like dueling Q community , prioritized Q community and a pair of steps Q community

• Part 6: Ms Pacman recreation & Deep Q-StudyingOn this part we are going to learn to construct a sensible robotic  to unravel Ms Pacman recreation.

  Right here we are going to learn to construct one other  variants of Q community like noisy Q community , double Q community and n-steps Q community.

• Part 7:Inventory buying and selling & Deep Q-StudyingOn this part we are going to learn to construct a sensible robotic  for inventory buying and selling.