'Current approximation' presentation slideshows

Reinforcement Learning

Reinforcement Learning. Vimal. The learner here is a decision making agent Keeps making decisions to take actions in the environment and receive rewards (or penalty ) A set of trial-and-error runs, the agent is expected to learn the best policy that maximize the total reward . .

636 views • 48 slides

Preliminary Results with Transmission Switching. Motivation The solution to the DCOPF approximation is sometimes AC infeasible, and it is not easy to restore feasibility. DCOPF approximation solutions are more costly than ACOPF solutions. Transmission Switching Approaches: LP

181 views • 1 slides