December 5, 2020

8 Links

8 Links of Separation

Machine Learning and Algorithms. In his book “On Intelligence”… | by Deepak Kumar | Nov, 2020

Reinforcement Learning: Reinforcement Learning, agents are trained on a reward and punishment mechanism. The agent is rewarded for correct moves and punished for the wrong ones. In doing so, the agent tries to minimize wrong moves and maximize the right ones.

For example, consider teaching a dog a new trick: you cannot tell it what to do, but you can reward/punish it if it does the right/wrong thing. It has to figure out what it did that made it get the reward/punishment, which is known as the credit assignment problem.


Reinforcement Learning can be further divided into Positive and Negative RL Algorithms:

Some popular examples of Reinforcement learning algorithms are: