In this paper we investigate the computation of optimal policies in constrained discrete stochastic dynamic programming with the average reward as utility function. The state-space and action-sets are ...
This course covers reinforcement learning aka dynamic programming, which is a modeling principle capturing dynamic environments and stochastic nature of events. The main goal is to learn dynamic ...
Recently, the 2025 RAICOM Robotics Developer Competition successfully concluded. Students from Qingdao Agricultural ...
https://doi.org/10.2307/1243989 • https://www.jstor.org/stable/1243989 Copy URL A dynamic programming model that allocates irrigations among competing crops, while ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback