Example: air traffic controller
Search results with tag "Policy gradient methods for reinforcement learning"
Policy Gradient Methods for Reinforcement Learning with ...
homes.cs.washington.edupolicy iteration with general difierentiable function approximation is convergent to a locally optimal policy. Baird and Moore (1999) obtained a weaker but superfl-cially similar result for their VAPS family of methods. Like policy-gradient methods, ... One is the average reward formulation, in which policies are ranked according to ...