A Batch, Off-Policy, Actor-Critic Algorithm for Optimizing the Average Reward

18 Jul 2016S. A. MurphyY. DengE. B. LaberH. R. MaeiR. S. SuttonK. Witkiewitz

We develop an off-policy actor-critic algorithm for learning an optimal policy from a training set composed of data from multiple individuals. This algorithm is developed with a view towards its use in mobile health...

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet