ACTKR
ACTKR
**ACKTR**, or **Actor Critic with Kronecker-factored Trust Region**, is an actor-critic method for reinforcement learning that applies [trust region optimization](https://paperswithcode.com/method/trpo) using a recently proposed Kronecker-factored approximation to the curvature. The method extends the framework of natural policy gradient and optimizes both the actor and the critic using Kronecker-factored approximate
curvature (K-FAC) with trust region.
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
https://paperswithcode.com/paper/scalable-trust-region-method-for-deep
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation