A Batch, Off-Policy, Actor-Critic Algorithm for Optimizing the Average Reward
Murphy, S. A., Deng, Y., Laber, E. B., Maei, H. R., Sutton, R. S., Witkiewitz, K.
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.
Jul-18-2016
- Country:
- North America > United States (0.93)
- Genre:
- Research Report > Experimental Study (1.00)
- Industry:
- Technology: