Scalable Trust-Region Method for Deep Reinforcement Learning Using Kronecker-Factored Approximation
Microsoft
Scalable Trust-Region Method for Deep Reinforcement Learning Using Kronecker-Factored Approximation
In this work, we propose to apply trust region optimization to deep reinforcement learning using a recently proposed Kronecker-factored approximation to the curvature. We extend the framework of natural policy gradient and propose to optimize both the actor and the critic using Kronecker-factored approximate curvature (K-FAC) with trust region ...
Sep 20, 2017
Trust Region Methods
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