Asynchronous-Methods-for-Deep-Reinforcement-Learning
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Zeta36
Implement the actor-critic methods
Hello, In the asynchronous dqn paper, they also described an on policy method, the advantage actor-critic (A3C), which achieved better results than others, do you currently have any plan to include this method in this repo as well? Because I am working off this repo as a starting point, and attempt to reproduce the results of the A3C method on the continuous action domain, but I am still trying to figure out the network model they used in the physical state case when apply to Mojoco, and how the policy gradient is accumulated.
No, originholic. I'm working in others things right now :(.
Maybe in the futurre I try with the advantage actor-critic, but not now. I'm sorry.
Regards. Samu.
