6 Matching Annotations
  1. Jul 2025
    1. When it comes to your healthcare, most people think that their only options are to pay for expensive Health Insurance or try out your luck being uninsured. The great news is that you have a third option; You can join a Health Share plan that is affordable and meets your needs! Health Sharing programs are one of the most effective and affordable alternatives to Health Insurance.  If you don’t know what a Health Share is, you can start here to learn how it works and why it’s a great alternative to health insurance. If you are looking for affordable healthcare, I highly recommend checking out my article about the Best Health Share Plans.
    2. Private Healthcare Systems (PHCS), and their associated MultiPlan networks, represent two key aspects that one must grasp in order to take full advantage of their health insurance benefits. But, what exactly are PHCS and MultiPlan networks, and how do they work? This guide aims to provide comprehensive insights into these healthcare structures. What is PHCS? Private Healthcare Systems, or PHCS, is one of the largest preferred provider organizations (PPOs) in the United States. A PPO is a type of health insurance arrangement where the insurance company has contracts with a network of “preferred” providers. In this context, PHCS forms contracts with doctors, hospitals, and other healthcare providers, who then agree to provide their services at reduced rates for patients covered by PHCS health insurance. Understanding MultiPlan Networks MultiPlan Network is a comprehensive group of healthcare providers that have agreed to offer discounted rates for services to insured individuals. It’s one of the oldest and most expansive independent PPO networks in the U.S., serving over 60 million people. PHCS became part of the MultiPlan network in 2006. This means that if your insurance uses the PHCS or MultiPlan network, you have access to these discounted rates when you use a provider within this network.
  2. Jul 2024
  3. Jul 2023
    1. This paper introduces the DDPG algorithm which builds on the existing DPG algorithm from classic RL theory. The main idea is to define a deterministic policy, or nearly deterministic, for situations where the environment is very sensitive to suboptimal actions, and one action setting usually dominates in each state. This showed good performance, but could not beat algorithms such as PPO until the additions of SAC were added. SAC adds an entropy penalty which essentially penalizes uncertainty in any states. Using this, the deterministic policy gradient approach performs well.