reward functions

Writing successful reward functions  

In Deep Reinforcement Learning (DRL), an agent needs to interact with the environment (either physical or simulated) by performing actions to obtain rewards. The agent’s goal is to maximize its rewards and learns by adjusting its policy (the agent’s strategy) based on…

fresh produce and vegetables at market

Ciruli Brothers: Designing and implementing a seamless ERP migration to the cloud

For decades, Ciruli Brothers housed their business-critical ERP data in a server on-premises. After multiple localized power outages and system failures, Ciruli Brothers knew they needed to do something to…