Deep Reinforcement Learning Course in Pytorch
Unofficial Pytroch (1.7+) implementation of the original Deep Reinforcement Learning Course
Syllabus
Chapter 1: Introduction to Deeep Reinforcement Learning
ARTICLE Introduction to Deep Reinforcement Learning
π VIDEO Introduction to Deep Reinforcement Learning
πΉARTICLE: Q-Learning, letβs create an autonomous Taxi π (Part 1/2)
πVIDEO Q-Learning, letβs create an autonomous Taxi π (Part 1/2)
πΉ [ARTICLE: Q-Learning, letβs create an autonomous Taxi π (Part 2/2)] π Fridayπ
πΉ [VIDEO: Q-Learning, letβs create an autonomous Taxi π (Part 2/2)] π Fridayπ
FROZENLAKE IMPLEMENTATION
Implementing a Q-learning agent that plays Taxi-v2 π
πΉ ARTICLE // DOOM IMPLEMENTATION
π Create a DQN Agent that learns to play Atari Space Invaders πΎ
πΉ ARTICLE // CARTPOLE IMPLEMENTATION // DOOM IMPLEMENTATION
π Create an Agent that learns to play Doom deathmatch
πΉ ARTICLE// Doom Deadly corridor IMPLEMENTATION
π Create an Agent that learns to play Doom Deadly corridor
πΉ ARTICLE
π Create an Agent that learns to play Sonic
πΉ ARTICLE
π Create an Agent that learns to play Sonic the Hedgehog 2 and 3
π¨βπ» ARTICLE
π A trained RND agent that learned to play Montezuma's revenge (21 hours of training with a Tesla K80
π¨βπ» Any questions π¨βπ»
If you have any questions on theory and Tensorflow implementation, please contact the original author:
π§: simonini.thomas.pro@gmail.com
Github: https://github.com/simoninithomas/Deep_reinforcement_learning_Course