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A2C Vs. Q Learning

The major difference between A2C and Q-Learning are what the algorithms learn. In A2C, and policy gradient algorithms in general, the policy is directly parameterised, i.e. we have $\pi_\theta (a|s)$. ...
1 vote

A2C Vs. Q Learning

Take a look at this blog: https://mpatacchiola.github.io/blog/2017/02/11/dissecting-reinforcement-learning-4.html In a nutshell, the major difference between the two algorithms is: Q-learning consists ...

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