RL Bite: Policy Gradient and Reinforce

Abstract Link to heading Till now we have considered only learning the Value or Q function and estimating the policy from those. In the next few posts, we are going to look into directly learning the policy. Why directly learn the policy? First, Q learning has a lot of issues involving the Deadly Triad; second, if we have continuous actions we cannot really use it; and lastly, Q learning always…