Giter Site home page Giter Site logo

patabu2 / reinforcement_learning Goto Github PK

View Code? Open in Web Editor NEW

This project forked from abhisheksuran/reinforcement_learning

0.0 1.0 0.0 308 KB

Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3

Jupyter Notebook 99.21% Python 0.79%

reinforcement_learning's Introduction

RL

Implemented in Tensorflow 2.x

  1. Atari (New_Atari_DQN_image.ipynb, atari_DDDQN.ipynb are correctly implemented but not able to fully train on colab(takes lot of time to train, Will try to get GPU on GCP) )
  2. Mountain Car with QLearning (works)
  3. Train using qlearning and DeepQLearning (works)
  4. Dueling Double Deep Q Learning (works)
  5. Deep Q learning (works)
  6. ActorCritic (works)
  7. Reinforce(Policy Gradient) (works)
  8. A2C (works)
  9. Multi-Worker_Actor-Critic(A2C) (works)
  10. Proximal Policy Optimization (PPO) (works)
  11. Deep Deterministic Policy Gradients (DDPG) (works)
  12. Twin Delayed Deep Deterministic Policy Gradient (TD3) (works)
  13. Soft Actor Critic (softAC) (works, reparameterized sampling not used as of now)

NOTE:- Inside Atari_DQN_image.ipynb, implementation of preprocessing for stacked frame was not correct, so i have uploaded new files with correct implementation.

Recommended resources to learn RL:

  1. https://www.coursera.org/specializations/reinforcement-learning (one of the best course for RL fundamentals)
  2. https://mitpress.mit.edu/books/reinforcement-learning-second-edition (Book)
  3. https://www.youtube.com/channel/UC58v9cLitc8VaCjrcKyAbrw (best for coding)
  4. https://adventuresinmachinelearning.com (very useful)
  5. https://www.youtube.com/playlist?list=PLWzQK00nc192L7UMJyTmLXaHa3KcO0wBT (Very useful for overview of different algorithms)

Thanks to:-

  1. https://www.youtube.com/channel/UC58v9cLitc8VaCjrcKyAbrw
  2. https://www.freecodecamp.org/news/an-introduction-to-deep-q-learning-lets-play-doom-54d02d8017d8/
  3. https://rubikscode.net/2019/07/22/deep-convolutional-q-learning-with-python-and-tensorflow-2-0/
  4. https://pythonprogramming.net/training-deep-q-learning-dqn-reinforcement-learning-python-tutorial/
  5. https://www.packtpub.com/big-data-and-business-intelligence/hands-reinforcement-learning-python
  6. http://www0.cs.ucl.ac.uk/staff/D.Silver/web/Teaching.html
  7. https://github.com/udacity/deep-reinforcement-learning

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.