Reinforcement Learning | TurtleBot3 Robot | Motion Planning for Robots

Reinforcement Learning is a paradigm of Machine Learning Algorithms, that work on the principle of Learning by Doing. Q Learning is one of the most popular Reinforcement Learning algorithm. The algorithm uses Bellman Update Equations to plan paths given the start and goal positions. The algorithm has been demonstrated on the TurtleBot3 robot in ROS (Robot Operating System) based simulation.

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Twitter:   / mahnasakshay  
LinkedIn:   / sakshaymahna  

Links
Simulation Code: https://github.com/SakshayMahna/Robot...
Algorithm Code: https://github.com/SakshayMahna/Robot...
Introduction to Reinforcement Learning:    • An introduction to Reinforcement Lear...  
Reinforcement Learning Basics: https://towardsdatascience.com/reinfo...
Q Learning: https://www.freecodecamp.org/news/an-...
ROS: https://www.ros.org/