2020 Trends in Data Science
Reinforcement Learning
I’ve heard this buzz word a lot recently so excitedly hit the interwebs 🌐
Reinforcement Learning (RL) is one of the basic machine learning paradigms, alongside supervised learning.
Let’s Compare 🔬
SL: training data set / answer key to train the model
RL: requires the agent to decide what to do to perform the given task
RL is about taking suitable action to maximize reward in a particular situation. It is employed by various software and machines to find the best possible behavior or path it should take in a specific situation.
This is similar to Pavlovian Theory, which is a learning procedure that involves pairing a stimulus with a conditioned response.
The famous example involving Ivan Pavlov’s dog, a bell, and food. 🐶🔔🍖
Reinforcement learning has also been proven to be an effective method for training deep learning networks that power self-driving car systems.
Happy Learning!!
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