Everyone loves a good underdog story. A relatable, disadvantaged, and beloved character fights against insurmountable odds and ultimately comes out on top. But what about Game of Thrones, a book…
Before diving deep into the concept of using simulators to solve Reinforcement Learning (RL) real-world problems, let’s understand the basics of RL. What is Reinforcement Learning? Reinforcement Learning (RL) is an…
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…
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…
Hackathon results announcement (Updated on 4/12/2021) Heartiest congratulations to all winners, runners-ups, and participants for making his event remarkable. Winner: “The Night Owls” 1st Runner up: “Data_Elites” 2nd Runner up:…
Artificial intelligence tells the authorities John Doe should not be granted bail, as there is a high chance he will re-offend. Why was this prediction made? How was it made?…
What is Reinforcement Learning? Deep Reinforcement Learning (DRL) or simply Reinforcement Learning (RL) is an area of machine learning that focuses on the training and decision-making abilities of AI agents.…