**Random Projection** is the technique used for the dimensionality reduction.

San Diego State University

The authors use **trust region policy optimization** with gated recurrent unit in order to solve partially-observable Markov decision processes. As an input policy has the identity of the previous item, binary outcome(for recall), the time elapsed.   Then it gives an output for the next item. In order to scale to much larger amount of items, the authors used **random projection trick**.

Algorithm
(Accelerating Human Learning With Deep Reinforcement Learning)

TRPO is an optimization algorithm in reinforcement learning which uses gradient descent. TRPO builds an algorithm that is stable and guarantees monotonic improvement. "This algorithm is similar to natural policy gradient methods and is effective for optimizing large nonlinear policies such as neural networks"

TRPO has  better performance than the vanilla policy gradients as the length of the step size is easily defined. Additionally, it takes advantage of using old policies sampled distributions for optimizing new ones.



Learn Before

Related