Reinforcement Learning for Robotic Locomotions
نویسندگان
چکیده
● Modifications on constraints Since TRPO is a constraint optimization problem, our first thought is replacing the KL constraint by some other constraints that also measure policy similarity. A natural thought would be using MSE loss on . We noticed later that this in fact corresponds to the standard policy gradient update. We have also tried to directly optimize the objective without any constraint.
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