I am looking for some good material to understand coding and how to implement a reinforcement learning idea or paper in python or MATLAB. kindly share any good material.
For reading material and with hands-on experience, I suggest this book :
https://www.packtpub.com/in/data/deep-reinforcement-learning-hands-on-second-edition
For understanding the concepts ( theoretical ones ) and know-hows, this is one of the best course: https://www.youtube.com/watch?v=TIlDzLZPyhY&list=PLyqSpQzTE6M_FwzHFAyf4LSkz_IjMyjD9
It is taught by Balraman Ravindran who is a pioneer in the field.
To get a course with theoretical and assignments to learn from :
https://www.edx.org/course/reinforcement-learning-explained-2
I personally completed this course. It was not easy to crack but the learning was worth it. Its assignments and quizzes strengthened my concepts and helped me in Building Reinforcement Learning Based Recommendation System.
I suggest you take up one of the courses and the book which has more examples to solve which can cover both concepts and practical aspects of your learning.
Also please think about some projects you want to build using the knowledge as it would really keep you going. If you need any more help please reply to this answer.
Regards
Ashay
hello this may help you
https://www.mathworks.com/solutions/deep-learning/reinforcement-learning.html
Related to your query, a good platform is https://github.com/dennybritz/reinforcement-learning and https://github.com/PacktPublishing/Reinforcement-Learning-Algorithms-with-Python
Dear Sudheesh P G I think this book would be helpful in understanding RL, link: https://web.stanford.edu/class/psych209/Readings/SuttonBartoIPRLBook2ndEd.pdf
As far as developing applications with RL in Python is concerned, you can follow github and other tutorial examples:
1. https://pythonprogramming.net/deep-q-learning-dqn-reinforcement-learning-python-tutorial/
2. https://github.com/keras-rl/keras-rl
Kick the books into touch. Forget the multi page syntax diagrams.
Get involved for real and do active things in the language you are learning over at
https://www.codingame.com
A safe environment for building skills by coding to solve problems and puzzles. Compete in challenges and build skills in various programming languages.
You start with a program template in an IDE, set of instructions - Just type in your code and run and test. Great live engaging graphics and fun to do.
Well, if you are into reading books, I recommend this one. It basically got everything related to RL: Reinforcement Learning: An Introduction Book by Andrew Barto and Richard
If you are not into books, I highly recommend this for starters:
https://medium.com/free-code-camp/an-introduction-to-reinforcement-learning-4339519de419
Part 1: An introduction to Reinforcement Learning
Part 2: Diving deeper into Reinforcement Learning with Q-Learning
Part 3: An introduction to Deep Q-Learning: let’s play Doom
Part 3+: Improvements in Deep Q Learning: Dueling Double DQN, Prioritized Experience Replay, and fixed Q-targets
Part 4: An introduction to Policy Gradients with Doom and Cartpole
Part 5: An intro to Advantage Actor-Critic methods: let’s play Sonic the Hedgehog!
Part 6: Proximal Policy Optimization (PPO) with Sonic the Hedgehog 2 and 3
Part 7: Curiosity-Driven Learning made easy Part I
learn these courses you will be able to implement reinforcement learning
https://www.coursera.org/projects/introduction-to-reinforcement-learning-in-python
https://towardsdatascience.com/reinforcement-learning-with-python-part-1-creating-the-environment-dad6e0237d2d
Here is an open educational resource repository including lecture and exercise materials plus videos: https://github.com/upb-lea/reinforcement_learning_course_materials
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