reinforcement-learning
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Vanilla REINFORCE implementation
Hello,
Is there any benefit to having a vanilla REINFORCE algorithm for people trying to learn the concepts? REINFORCE with Baseline includes a value function approximator which has a lot of similarities to the Actor Critic.
I think being able to see a pure policy gradient method could be useful as a learning tool, otherwise people may assume Policy Gradient methods have to have some kind of value function approximation too.
Look at this if you want to see the high variance results of Vanilla reinforce
Can I implement the vanilla REINFORCE ?